1655 Doctoral Degree Jobs - Page 26

Department VTC R&D Job posted on Jul 10, 2025 Employment type P-P6-Probationer-R&D Executive Qualification: PhD/MSc in science (Biotechnology, Biochemistry and Microbiology), master’s degree in pharmacy or engineering with biotechnology To perform and be responsible for all the activities and documentation of formulation and filling process development and should have strong knowledge of optimization of different vaccine formulations, stabilizer selection, excipient selection, selection and preparation of adjuvants such as aluminium salts, Oil-In-Water emulsions, Liposome-based adjuvants with TLR agonists and saponin, LNP formulation and preparation, aseptic filling and Lyophilization cycle designing for new vaccine products and troubleshooting for existing vaccines. To perform all the activities and documentation of the formulation and filling process, development and execution of clinical drug product manufacturing for the clinical batches, planning and execution of media fill activities Prepare and Maintain R/D lab documents, equipment and area qualifications as per GMP requirements and Responsible for preparation of process validation and technology transfer protocols as per GMP requirements and co-ordinates with QA, QC, Engineering department for viral vaccine development activities. Responsible to ensuring proper hygiene and entry exit procedures in the respective formulation and filling section and preparation of adjuvant, buffer solutions and other materials & ensuring proper arrangements for their preparation and supply. To coordinate with the central warehouse department for receipt and entry of RM and PM materials. Preparation / supervision of disinfectant solution, cleaning solution, integrity testing of hydrophobic and hydrophilic filters, sanitization and disinfection activities of R/D formulation department. Responsible for QMS such as deviations, MDD, investigation, observation and ensuring its timely closure. Preparation of standard operating procedure and Batch manufacturing records, QRM and protocol related to R/D formulation and filling section. To supervise washing, drying, packing and sterilizations of materials required for R/D development and GMP clinical batch preparation.

Schrödinger is a science and technology leader with over 30 years of experience developing software solutions for physics-based and machine learning-based chemical simulations and predictive analyses. We’re seeking an application-focused Materials Informatics & Optoelectronics Scientist to join us in our mission to improve human health and quality of life through the development, distribution, and application of advanced computational methods. As a member of our Materials Science team, you’ll have the opportunity to work on diverse projects in optoelectronics, catalysis, energy storage, semiconductors, aerospace, and specialty chemicals. Who will love this job: A statistical and machine learning expert with robust problem-solving skills A materials science enthusiast who’s familiar with RDkit, MatMiner, Dscribe, or other informatics packages A proficient Python programmer and debugger who’s familiar with machine learning packages like Scikit-Learn, Pandas, NumPy, SciPy, and PyTorch An experienced researcher with hands-on experience in extracting datasets using large language models (LLM) or Optical Character Recognition (OCR) technologies A specialist in quantum chemistry or materials science who enjoys collaborating with an interdisciplinary team in a fast-paced environment What you’ll do: Research, curate, and analyze datasets from literature and other sources using advanced techniques such as LLMs and OCR. Work with domain experts to ensure the accuracy and quality of data (such as molecular structures, SMILES strings, experimental measurements, etc) Develop and validate predictive machine learning models for OLED devices and other optoelectronic applications Communicate results and present ideas to the team Develop tools and workflows that can be integrated into commercial software products Validate existing Schrödinger machine learning products using public datasets or internally generated datasets What you should have: A PhD in Chemistry or Materials Science Hands-on experience with the application of machine learning, neural networks, deep learning, data analysis, or chemical informatics to materials and complex chemicals Experience with LLM, OCR technologies, and the extraction of datasets for ML model development As an equal opportunity employer, Schrödinger hires outstanding individuals into every position in the company. People who work with us have a high degree of engagement, a commitment to working effectively in teams, and a passion for the company's mission. We place the highest value on creating a safe environment where our employees can grow and contribute, and refuse to discriminate on the basis of race, color, religious belief, sex, age, disability, national origin, alienage or citizenship status, marital status, partnership status, caregiver status, sexual and reproductive health decisions, gender identity or expression, or sexual orientation. To us, "diversity" isn't just a buzzword, but an important element of our core principles and key business practices. We believe that diverse companies innovate better and think more creatively than homogenous ones because they take into account a wide range of viewpoints. For us, greater diversity doesn't mean better headlines or public images - it means increased adaptability and profitability.

Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory , our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Inviting applications for the role of AVP – Life Sciences Analytics In this role, We are seeking a dynamic and visionary AVP– Life Sciences Analytics to lead a marquee engagement with a global innovator biopharma client. This leadership role combines strategic delivery oversight, client engagement, innovation incubation, and account growth. The ideal candidate will bring deep expertise in commercial analytics, a passion for innovation, and a proven track record of applying AI and new-age technologies to solve complex business problems. You will be responsible for building and managing a high-performing team across India and the US, delivering cutting-edge analytics and AI solutions, and acting as a thought leader to shape and elevate our client partnership. Responsibilities Client Engagement & Strategic Leadership Serve as the primary point of contact for a global innovator client on analytics and AI initiatives. Partner with senior stakeholders (VPs, Heads of Commercial, Digital, AI/ML leads) to understand priorities and define solution roadmaps. Act as a trusted advisor and thought leader in commercial life sciences analytics, influencing client strategy. Team Management & Delivery Oversight Lead and mentor a multi-disciplinary team spread across India and the US (data science, data engineering, domain SMEs). Drive flawless execution of deliverables, ensuring high-quality, timely , and impactful outcomes. Foster a culture of ownership, continuous learning, and innovation within the team. Innovation & Solution Development Incubate and scale next-gen solutions using GenAI , NLP, predictive modeling , graph analytics, and cloud-native platforms (e.g., Snowflake, Databricks, Azure/AWS). Promote agile experimentation and adoption of cutting-edge tools and techniques. Translate emerging technologies into scalable business value for the client. Growth & Account Expansion Identify whitespace opportunities and collaborate with the sales team to grow the account. Co-create proposals and POVs showcasing analytics-led value for new business use cases. Expand footprint into adjacent areas like RWE, patient analytics, omnichannel, or AI-powered operations. Qualifications we seek in you! Minimum Qualifications Bachelor’s or Master’s degree in Engineering , Life Sciences, Statistics, Data Science, or related fields; MBA or PhD is a plus. Preferred Qualifications/ Skills Relevant years of experience in Life Sciences analytics, with significant exposure to US and global commercial functions. Proven experience leading large-scale, high-impact analytics and AI programs for innovator clients. Strong expertise in commercial analytics areas such as forecasting, brand performance, HCP segmentation, patient analytics, omnichannel, etc. Experience working across geographies with distributed teams. Demonstrated ability to drive innovation using modern technologies (AI/ML, GenAI , cloud, NLP, etc.) Hands-on understanding of analytics platforms, data infrastructure, and MLOps is a plus. Experience working in or with global biopharma innovators. Published or presented in conferences or forums on analytics, AI, or digital transformation in life sciences. Passionate about building high-performance teams and mentoring future leaders. Entrepreneurial mindset with a bias for action and innovation. Strong executive presence with excellent communication and stakeholder management skills. Why join Genpact? Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Assistant Vice President Primary Location India-Bangalore Schedule Full-time Education Level Bachelor's / Graduation / Equivalent Job Posting Jul 10, 2025, 2:48:52 AM Unposting Date Aug 9, 2025, 1:29:00 PM Master Skills List Operations Job Category Full Time

Job description An Assistant/ Associate Professor of Marketing is responsible for teaching marketing courses, conducting research, mentoring students, and contributing to departmental activities. They develop and deliver engaging lectures, develop course materials, and evaluate student performance. They also conduct original research, publish their findings, and present at conferences. Additionally, they advise students, participate in departmental committees, and contribute to the university's mission. Key Responsibilities: Teaching: Preparing and delivering marketing coursework, including lectures, discussions, and assessments. Developing and updating course materials, including syllabus, assignments, and exams. Evaluating student performance through various methods, such as exams, papers, and projects. Research: Conducting original research in the field of marketing and publishing findings in academic journals. Presenting research findings at conferences and workshops. Seeking research funding opportunities. Mentoring: Advising students on course choices, career paths, and research opportunities. Providing guidance and support to students, including those working on projects or research papers. Service: Participating in departmental and university committees. Contributing to faculty development activities and mentoring new faculty members. Supporting student recruitment and outreach efforts. Additional Responsibilities: Developing and implementing innovative teaching methods. Staying up-to-date on current trends and advancements in the field of marketing. Engaging with industry professionals and experts. Contributing to the university's mission and values. Adhering to ethical standards and professional conduct. Qualifications: Ph.D. & MBA in Marketing/ Digital Marketing. UGC Net Qualified 2 Years of minimum teaching experience Strong teaching and research skills. Excellent communication and interpersonal skills. Experience in teaching marketing courses at the undergraduate and/or graduate level. Demonstrated ability to conduct independent research and publish in peer-reviewed journals. Ability to work collaboratively with faculty and staff Job Type: Full-time Job Type: Full-time Pay: From ₹55,000.00 per month Benefits: Provident Fund Schedule: Day shift Work Location: In person

Job Title: Assistant Professor – M.Sc. Nursing Location: Patna (Chiksi, Paliganj), Bihar Job Type: Full-Time Department: Nursing Reporting To: Principal / HOD Salary: 35,000/- to Upto 40,000/- per Month. Job Description: About the Role: We’re looking for a dedicated and passionate Assistant Professor (M.Sc. Nursing) to join our academic team. This role involves teaching, mentoring, researching, and guiding the next generation of nurses, both in classrooms and clinical settings. You’ll be shaping not just lessons, but future healthcare professionals. What You’ll Do: Deliver engaging lectures, lead seminars, and conduct practical training sessions for B.Sc. and M.Sc. Nursing students. Design and update curriculum in line with INC standards and evolving healthcare practices . Supervise students in clinical postings and help them connect theory with real-world practice. Provide academic guidance, career advice , and emotional support to students. Conduct and publish nursing research and contribute to the growth of nursing science. Support college activities, accreditation processes, and participate in faculty development. What You’ll Need: Education: M.Sc. Nursing in a relevant specialty from an INC-recognized institution (Ph.D. preferred but not mandatory). Experience: At least 3 years of teaching experience post-M.Sc. Nursing. Clinical experience may also be considered. Registration: Valid State Nursing Council registration (RNRM). Skills That Matter: Clear and confident communication— inside and outside the classroom. Strong curriculum planning and lesson design abilities. Mentorship, empathy, and emotional intelligence to support student well-being. Time management and organizational skills to balance teaching, research, and administration. Ethical conduct and professionalism in every interaction. Solid clinical knowledge to guide students in practical settings. Research mindset and writing skills for academic publishing. Tech-friendly: Comfortable with MS Office and digital teaching tools. How to Apply: Send your resume and a short cover letter to [email protected] / [email protected] or contact over Whatsapp:9031624659/9031624657. Job Types: Full-time, Permanent Pay: ₹35,000.00 - ₹40,000.00 per month Schedule: Day shift Morning shift Work Location: In person

DESCRIPTION Alexa+ is Amazon’s next-generation, AI-powered virtual assistant. Building on the original Alexa, it uses generative AI to deliver a more conversational, personalized, and effective experience. Alexa Sensitive Content Intelligence (ASCI) team is developing responsible AI (RAI) solutions for Alexa+, empowering it to provide useful information responsibly. The team is currently looking for Applied Scientists with a strong background in NLP and/or CV to design and develop ML solutions in the RAI space using generative AI across all languages and countries. An Applied Scientist will be in a team of exceptional scientists to develop novel algorithms and modeling techniques to advance the state of the art in Natural Language Processing (NLP) or Computer Vision (CV) related tasks. They will work in a hybrid, fast-paced organization where scientists, engineers, and product managers work together to build customer facing experiences. They will collaborate with and mentor other scientists to raise the bar of scientific research in Amazon. Their work will directly impact our customers in the form of products and services that make use of speech, language, and computer vision technologies. We are looking for candidate with strong technical experiences and a passion for building scientific driven solutions in a fast-paced environment. This Senior Applied Scientist should have good understanding of NLP models (e.g. LSTM, transformer based models) or CV models (e.g. CNN, AlexNet, ResNet) and where to apply them in different business cases. They should leverage exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience of building large-scale distributed systems to creating reliable, scalable, and high-performance products. In addition to technical depth, they must possess exceptional communication skills and understand how to influence key stakeholders. This Applied Scientist will be joining a select group of people making history producing one of the most highly rated products in Amazon's history, so if you are looking for a challenging and innovative role where you can solve important problems while growing as a leader, this may be the place for you. Key job responsibilities This Applied Scientist will lead the science solution design, run experiments, research new algorithms, and find new ways of optimizing customer experience. They will set examples for the team on good science practice and standards. Besides theoretical analysis and innovation, they will work closely with talented engineers and ML scientists to put algorithms and models into practice. This Applied Scientist's work will also directly impact the trust customers place in Alexa, globally. They will contribute directly to our growth by hiring smart and motivated scientists to establish teams that can deliver swiftly and predictably, adjusting in an agile fashion to deliver what our customers need. A day in the life You will be working with a group of talented scientists on researching algorithm and running experiments to test scientific proposal/solutions to improve our sensitive contents detection and mitigation. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, and model development. You will mentor other scientists, review and guide their work, help develop roadmaps for the team. You work closely with partner teams across Alexa to deliver platform features that require cross-team leadership. About the team The mission of the Alexa Sensitive Content Intelligence (ASCI) team is to (1) minimize negative surprises to customers caused by sensitive content, (2) detect and prevent potential brand-damaging interactions, and (3) build customer trust through appropriate interactions on sensitive topics. The term “sensitive content” includes within its scope a wide range of categories of content such as offensive content (e.g., hate speech, racist speech), profanity, content that is suitable only for certain age groups, politically polarizing content, and religiously polarizing content. The term “content” refers to any material that is exposed to customers by Alexa (including both 1P and 3P experiences) and includes text, speech, audio, and video. BASIC QUALIFICATIONS 3+ years of building models for business application experience PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS Experience using Unix/Linux Experience in professional software development Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Job details IND, KA, Bengaluru Alexa and Echo Devices Machine Learning Science

An Assistant Professor in Psychology with a doctorate is primarily responsible for teaching undergraduate and/or postgraduate courses, conducting research, and mentoring students. Key Responsibilities: Teaching: Develop and deliver lectures, create course materials (syllabi, assignments, etc.), conduct assessments (exams, papers, etc.), and facilitate classroom discussions in undergraduate and graduate psychology courses. Research: Conduct independent research, supervise student research projects, and publish findings in peer-reviewed journals. Mentoring: Provide academic advising and career guidance to students, helping them navigate their educational and professional journeys. Curriculum Development: Contribute to the development and review of course curricula, ensuring they align with current trends and best practices in the field. Departmental Involvement: Participate in departmental meetings, contribute to strategic planning, and collaborate with colleagues on various initiatives. Service: Engage in university and community service activities, such as participating in committees, attending university events, and contributing to outreach programs. Professional Development: Stay current with the latest research and trends in psychology and incorporate new knowledge into teaching and research. Qualifications: Doctoral Degree: A Ph.D. in Psychology is typically required. Research Experience: Demonstrated ability to conduct and publish research in psychology. Teaching Experience: Prior experience teaching psychology courses at the college or university level is often preferred. Communication Skills: Excellent written and verbal communication skills are essential for teaching, research, and mentoring. Interpersonal Skills: Strong interpersonal skills are needed for effective collaboration with colleagues and for mentoring students. Job Types: Full-time, Permanent Benefits: Commuter assistance Internet reimbursement Leave encashment Paid sick time Schedule: Day shift Monday to Friday Supplemental Pay: Performance bonus Yearly bonus Work Location: In person

Location: Chennai, Tamil Nadu, India Job ID: R0088223 Date Posted: 2025-06-20 Company Name: HITACHI ENERGY TECHNOLOGY SERVICES PRIVATE LIMITED Profession (Job Category): Engineering & Science Job Schedule: Full time Remote: No Job Description: The opportunity: Engineering authority in design studies and performance evaluation studies for projects/tenders for Flexible A.C. Transmission Systems (FACTS) technology aligned with Power Quality Solutions (PQS) Business. How you’ll make an impact: Define topology and single line diagram for FACTS solution based on customer requirement. Specify main circuit components such as Power Transformer, Power Electronics Valves, Reactors, Capacitors, CT, VT, Breaker etc. based on customer specification and international standards. Co-ordinate with suppliers for optimal design of components mentioned in the point above. Evaluate their design and test record documents. Perform design studies such as harmonic performance, protection design, insulation coordination including TOV/ TRV/ lighting studies, loss evaluation and Reliability study. Create and validate power system equivalents in RMS (PSSE/ DIgSILENT) and EMT (PSCAD/EMTP) software packages. Develop understanding of control algorithms and keep one-self updated with new control methodologies for FACTS application. Perform dynamic performance studies, in RMS and EMT software packages, with FACTS devices integrated in power system networks. Develop FACTS solution models in multiple RMS and EMT software packages. Coordinate and communicate with other disciplines involved in project and tender deliveries. Close coordination and involvement into research and development activities as per business requirement. Participate in customer discussions and Support Project Management/ Product Management/ Application Engineering team in customer acquisition and consultation Responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines. Living Hitachi Energy’s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business. Your background: PhD in Power Systems and with relevant work Experience of 1-3 years. M. Tech, Power Systems and with relevant work Experience of 2-5 years. B.E/B. Tech, Electrical Engineering and with relevant work Experience of 5-10 years In-depth understanding of basics of power system steady state, dynamic and transient behavior. Experience with specifying power system components and evaluation vendor documents and/or Experience with grid integration studies for power electronics converter-based applications such as FACTS, HVDC, wind, solar and battery energy storage plants. Knowledge on Simulation tools like PSCAD/PSSE /DIgSILENT/EMTP/RTDS/MATLAB. and/or Knowledge on in depth understanding of international standards (i.e., IEEE/IEC/GIGRE) for specifying power system components/ solutions. Good team player with ability to work effectively in multi-disciplinary and multi- cultural teams. Good communication skills and well-organized individual. Good focus on attention to details. Ambitious, creative thinker and problem solver. Ability to work effectively in fast paced and highly fluctuating workload environment Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process. This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.

Job Title: Assistant Professor – Physiotherapy Location: Patna (Chiksi, Paliganj), Bihar Job Type: Full-Time Reports To: Head of Department / Principal Salary: 25,000/- to Upto 30,000/- Per Month. Job Description: About the Role: We’re looking for a passionate and skilled Assistant Professor in Physiotherapy to join our academic team. If you're someone who loves teaching, believes in evidence-based practice, and wants to shape the next generation of physiotherapists, we'd love to hear from you. You’ll be responsible for delivering engaging lectures, supervising clinical training, guiding student research, and contributing to the growth of the department, both academically and professionally. Key Responsibilities: Teach UG/PG students through lectures, hands-on practicals, and workshops. Guide student projects and dissertations; support learning with real-world examples. Lead and participate in research, publications, and funding proposals. Help in designing the curriculum and contribute to departmental activities. Supervise clinical postings and ensure application of current physiotherapy practices. What We’re Looking For: Education & Experience: Master’s in Physiotherapy (MPT) (specialization preferred). At least 3 years of academic, clinical, or research experience (fresh postgraduates may be considered). A Ph.D. in Physiotherapy is desirable but not mandatory. IAP registration/membership preferred. Skills & Strengths: Evidence-Based Practice: Ability to apply the latest research to clinical and classroom settings. Rehabilitation Equipment Knowledge: Comfortable with assistive devices and modern physio technologies. Clinical Versatility: Experience from hospitals, clinics, or rehabilitation centers is a plus. Interactive Teaching: Capable of creating a student-friendly and inclusive learning environment. Versatile Delivery: Experience with lectures, workshops, and online learning. LMS Proficiency: Able to use tools like Moodle, Google Classroom, or other platforms. Research-Oriented: Skilled in conducting research, publishing, and guiding student projects. Funding Savvy: Familiar with writing proposals and managing research grants. Adaptability & Problem Solving: Ready to adjust to patient and classroom needs. Empathy & Compassion: Supportive and patient with both learners and clients. Team Spirit: Collaborative mindset with peers and healthcare professionals. Growth-Oriented: Committed to continuous professional development. To Apply: Send your resume and a short cover letter to [email protected] / [email protected] or contact over Whatsapp:9031624659/9031624657. Job Types: Full-time, Permanent Pay: ₹25,000.00 - ₹30,000.00 per month Schedule: Day shift Morning shift Work Location: In person

Inviting Applications for our Upcoming Campus "Amity University Hyderabad" Position: Associate / Assistant Professor Specialization: Economics Qualification: UGC NET Qualified + Ph.D. Awarded + Masters in Economics Experience: Minimum 7 Years in Teaching Interested candidates can share their resume directly at [email protected] Job Type: Full-time Pay: From ₹55,000.00 per month Benefits: Provident Fund Schedule: Day shift Work Location: In person

Coimbatore, India Job Summary: The Dean of Electrical Sciences is responsible for providing strategic academic and administrative leadership across all departments under the School of Electrical Sciences. This includes overseeing curriculum development, faculty management, research initiatives, student engagement, and inter-departmental coordination. The Dean plays a key role in ensuring academic excellence, accreditation compliance, and alignment with institutional goals and industry standards. Key Responsibilities: Provide visionary leadership and strategic planning for all departments under Electrical Sciences. Oversee curriculum design, academic policy implementation, and course delivery. Promote high-quality teaching, research, innovation, and interdisciplinary collaboration. Guide faculty recruitment, performance evaluations, mentoring, and development. Ensure compliance with accreditation standards such as NBA, NAAC, and AICTE norms. Drive industry partnerships, internships, MoUs, and research funding opportunities. Monitor academic performance, student outcomes, and faculty research output. Facilitate student development through seminars, conferences, technical events, and skill-building programs. Collaborate with other deans and management to achieve institutional objectives. Prepare academic reports, budgets, and policy proposals for senior leadership review. Qualifications: Ph.D. in Electrical Engineering, Electronics, or a related discipline. Minimum of 15 years of teaching/research/academic leadership experience. Proven record of academic administration, research publications, and departmental leadership. Key Skills: Academic leadership and strategic thinking Strong administrative and decision-making skills Excellent communication and interpersonal abilities Research orientation and industry collaboration expertise Familiarity with accreditation frameworks and academic ERP systems

Job Title : Vice Chancellor Location : Sikkim Reports to : University Board of Trustees Age: Must be below 55 years Position Overview : The Vice Chancellor is the chief executive officer of the university, responsible for providing strategic leadership, overseeing academic and administrative functions, and ensuring the institution's mission and goals are met. Key Responsibilities : Leadership and Vision : Develop and implement the university's strategic plan; foster a culture of innovation and excellence. Academic Excellence : Oversee academic programs, faculty recruitment, and research initiatives. Administrative Oversight : Manage budget, resources, and operational functions. External Relations : Represent the university in public, build partnerships, and secure funding. Compliance and Governance : Ensure adherence to regulatory standards and institutional policies. Qualifications : Doctoral degree or equivalent in a relevant field. Significant experience in higher education leadership. Strong strategic, financial, and organizational skills. Excellent communication and interpersonal abilities. Job Type: Full-time Pay: ₹60,000.00 - ₹150,000.00 per month Schedule: Day shift Supplemental Pay: Commission pay Overtime pay Performance bonus Ability to commute/relocate: Namchi, Sikkim: Reliably commute or planning to relocate before starting work (Required) Experience: total work: 1 year (Preferred) Work Location: In person

Key Responsibilities: Teach undergraduate and postgraduate courses in social media marketing, digital marketing, content strategy, analytics, and related subjects. Design, update, and improve curriculum in line with current industry trends and technological advancements. Guide students in project work, internships, dissertations, and entrepreneurial initiatives. Conduct scholarly research and publish in reputed journals. Organize and participate in workshops, seminars, and industry interaction programs. Support the department in academic planning, student development activities, and accreditation processes. Contribute to social media strategy and outreach of the college if required. Collaborate with industry experts and enhance corporate interface for student placements and internships. Qualifications: Ph.D. in Management, Media Studies, Digital Marketing, or a related field (preferred). Master’s degree (MBA, or equivalent) with specialization in Digital Marketing / Social Media Marketing. Minimum of 3 years of teaching or relevant industry experience. UGC NET qualification (preferred but not mandatory if Ph.D. awarded as per UGC norms). Job Type: Full-time Pay: From ₹30,000.00 per month Work Location: In person

Subject Matter Expert - Chemical LNT/SME-C/1413354 LEDT-EdutechChennai Posted On 10 Jul 2025 End Date 06 Jan 2026 Required Experience 7 - 12 Years Skills Knowledge & Posting Location TEACHING COMMUNICATION CHEMICAL ENGINEERING Minimum Qualification BACHELOR OF ENGINEERING (BE) Job Description Role Overview We are seeking a Chemical Engineering Subject Matter Expert to lead the design and delivery of application-driven, industry-relevant learning programs on our EdTech platform. The SME will ensure that content is not only academically sound but also aligned with real-world engineering practices and emerging industry needs. Key Responsibilities Design and deliver Chemical Engineering programs focused on practical applications and industry relevance. Develop curriculum, case studies, simulations, and assessments that reflect current engineering challenges and technologies. Collaborate with instructional designers and tech teams to create engaging, interactive, and video-based content. Conduct live sessions, mentor learners, and support program outcomes through continuous feedback and improvement. Integrate industry insights, standards, and tools into the learning experience to enhance employability and skill readiness. Qualifications Bachelor’s/Master’s/PhD in Chemical Engineering or related field. Minimum 7 years of experience in industry or academia with a strong focus on applied engineering. Expertise in areas such as process design, safety, sustainability, and digital tools used in chemical engineering. Experience in delivering online or blended learning programs is preferred. Strong communication, mentoring, and collaboration skills.

Job Opening: Assistant Professor – Finance & Business Analytics Chandigarh Group of Colleges, Landran Campus | Mohali, Punjab Chandigarh Group of Colleges (CGC), Landran invites applications for the position of Assistant Professor in the Finance & Business Analytics domain. Eligibility Criteria: Qualification: MBA in Finance / Business Analytics PhD (Pursuing or Completed) – Mandatory Experience: Minimum 2 years of relevant teaching or industry experience Job Responsibilities: Deliver lectures and tutorials in Finance and Business Analytics Guide students on projects, internships, and research work Contribute to curriculum development and department activities Conduct research and publish in reputed journals How to Apply: Interested candidates may send their updated resume to [email protected] For further communication, you may also DM or contact at 9875939971 Job Type: Full-time Pay: ₹30,000.00 - ₹40,000.00 per month Schedule: Day shift Education: Doctorate (Preferred) Work Location: In person

DESCRIPTION Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities. The ATT team, based in Bangalore, is responsible for ensuring that ads are relevant and are of good quality, leading to higher conversion for the sellers and providing a great experience for the customers. We deal with one of the world’s largest product catalog, handle billions of requests a day with plans to grow it by an order of magnitude and use automated systems to validate tens of millions of offers submitted by thousands of merchants in multiple countries and languages. In this role, you will build and develop ML models to address content understanding and labelling problems in Ads. These models will rely on a variety of visual and textual features requiring expertise in both domains. These models need to scale to multiple languages and countries. You will collaborate with engineers and other scientists to build, train and deploy these models. As part of these activities, you will develop production level code that enables labelling of advertising assets and moderation of millions of ads submitted each day. BASIC QUALIFICATIONS PhD, or Master's degree and 4+ years of quantitative field research experience Experience investigating the feasibility of applying scientific principles and concepts to business problems and products Experience analyzing both experimental and observational data sets PREFERRED QUALIFICATIONS Knowledge of R, MATLAB, Python or similar scripting language Experience with agile development Experience building web based dashboards using common frameworks Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Job details IND, KA, Bengaluru Machine Learning Science

Required Assistant Professor/AOP/Professor in Pharmacy college, interested can forward the profiles to [email protected] Qualification : M.Pharm/Ph.D Specialisation : Pharmaceutics Experience: 3+ years Job Location : Poonamallee, Chennai Immediate joiners preferred Job Type: Permanent Schedule: Day shift Application Question(s): What is your current location? Education: Master's (Preferred) Experience: total work 10: 3 years (Preferred) Work Location: In person

DESCRIPTION We are seeking a highly talented Applied Scientist to join our MENA Science team and drive the development of state-of-the-art machine learning solutions for our customers in the MENA region. In this role, you will leverage state-of-the-art machine learning and data science techniques to create solutions that directly address critical customer problems. Your work will directly impact the customer experience and profitability of our MENA businesses, helping us enhance catalog quality, improve machine translation, prevent abuse and fraud etc. Key job responsibilities Invent, implement, and deploy scalable machine learning algorithms and models to solve complex, real-world problems for our MENA customers. Collaborate closely with cross-functional teams, including product managers, engineers, and other applied scientists, to identify high-impact areas for innovation. Prototype and test new approaches, such as leveraging large language models (LLMs) and other advanced techniques, to drive measurable improvements in key business metrics. Tackle a diverse range of challenges, such as improving catalog quality through large language models, enhancing machine translation, augmenting abuse prevention systems etc. Staying up-to-date with the latest advancements in machine learning and data science, and proactively identifying opportunities to apply these techniques to drive business impact. Contribute to the broader scientific community by publishing your work at top-tier conferences and journals. A day in the life Diving deep in to ambiguous and complex business problems and translating them to ML problem statements. Applying relevant science solutions for the ML problems. Staying abreast with evolving science landscape and applying the state-of-the-art. About the team MENA tech is spread across Jordan, UAE, India and Seattle, building amazing solutions for customers in the region. We deploy in MENA first but build for the world BASIC QUALIFICATIONS Experience building machine learning models or developing algorithms for business application Bachelors or PhD or Master's degree in a technical field (e.g., computer science, statistics, applied mathematics) with 4+ years of relevant experience. Proven track record of designing, implementing, and deploying successful machine learning solutions for real-world business problems. Expertise in areas such as natural language processing, computer vision, deep learning, and other cutting-edge ML techniques. Strong programming skills in Python, R, or other relevant languages, and experience with popular ML frameworks like TensorFlow, PyTorch, or MXNet. Excellent communication and collaboration skills to effectively work with cross-functional teams. PREFERRED QUALIFICATIONS Proficient in any one of these areas: large language models, NLP (Information retrieval, Machine Translation), Computer Vision, Classification models using Boosting/Bagging or Deep Neural Networks. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Job details IND, TS, Hyderabad Data Science

Job Summary: With a mission to accelerate user acquisition through data-driven intelligence, as a Staff Data Scientist, you will design and deploy machine learning models and decision systems that drive subscription growth via direct-to-consumer (D2C) and B2B/partner channels. You’ll collaborate closely with Product, Engineering, Growth, and Marketing teams to power personalized user journeys, scale experiments, and shape acquisition, retention strategy through insights and automation. If you thrive at the intersection of data, product, and impact — and want to shape how millions of users subscribe — this is the role for you About the team: Subscriptions and Payments Team powers the end-to-end direct monetization engine for India’s largest subscription platform, with over 250M+ subscriptions. We build scalable, multi-tenant systems for acquiring users via D2C and partner channels, reducing churn through intelligent renewal and retry mechanisms, and integrating deeply with global and local payment ecosystems like UPI Autopay and card mandates. Our platform drives seamless onboarding, high retention, and reliable payments at scale—enabling frictionless subscription experiences across geographies and devices. Key responsibilities: Analyze large datasets from various sources to identify trends, patterns, and actionable insights that help define and execute data-driven strategies for the Subscription platform Design, develop, and deploy statistical models, machine learning algorithms, generative AI models, and predictive analytics to optimize plan recommendation, churn predictions, subscription propensity, winback strategies Integrate machine learning models into production systems to deliver real-time insights and automated decision-making capabilities Collaborate closely with cross-functional teams, including Data Engineering, Product Management, Growth and Business teams, to understand business challenges and deploy end-to-end solutions Continuously evaluate and improve data quality and model performance to ensure consistent, reliable, and accurate insights Develop and execute A/B testing frameworks and experimental designs to validate algorithmic improvements and quantify business impact Stay up-to-date with the latest advancements in data science, machine learning, and AI, and proactively incorporate cutting-edge techniques into models and the Subs/pay platform Present findings, methodologies, and business impact of data science initiatives to technical and non-technical stakeholders Skills and attributes for success: Proven experience in data science and machine learning preferably in subscription/payments or related industries Experience building and tuning supervised models (e.g., churn prediction, propensity scoring, offer targeting) Strong proficiency in Python, SQL, and relevant data science libraries (Pandas, Scikit-learn, TensorFlow, PyTorch, etc.) Expertise in building and deploying machine learning models into production systems Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Google Cloud) Deep understanding of statistical analysis, machine learning, data mining, and predictive modeling techniques Should be comfortable leveraging LLMs and internals Strong product intuition to translate business goals (e.g., reduce churn, boost conversion) into actionable data science solutions with measurable impact Strong problem-solving skills with the ability to translate business problems into data science solutions Excellent verbal and written communication skills, with the ability to present complex information to non-technical stakeholders Preferred education and experience: Master's or PhD in Computer Science, Statistics, Mathematics, or related quantitative field with 8+ years of hands-on experience in applied machine learning or data science About Us Perched firmly at the nucleus of spellbinding content and innovative technology, JioStar is a leading global media & entertainment company that is reimagining the way audiences consume entertainment and sports. Its television network and streaming service together reach more than 750 million viewers every week, igniting the dreams and aspirations of hundreds of million people across geographies. JioStar is an equal opportunity employer. The company values diversity and its mission is to create a workplace where everyone can bring their authentic selves to work. The company ensures that the work environment is free from any discrimination against persons with disabilities, gender, gender identity and any other characteristics or status that is legally protected.

Remote Work: Hybrid Overview: At Zebra, we are a community of innovators who come together to create new ways of working to make everyday life better. United by curiosity and care, we develop dynamic solutions that anticipate our customer’s and partner’s needs and solve their challenges. Being a part of Zebra Nation means being seen, heard, valued, and respected. Drawing from our diverse perspectives, we collaborate to deliver on our purpose. Here you are a part of a team pushing boundaries to redefine the work of tomorrow for organizations, their employees, and those they serve. You have opportunities to learn and lead at a forward-thinking company, defining your path to a fulfilling career while channeling your skills toward causes that you care about – locally and globally. We’ve only begun reimaging the future – for our people, our customers, and the world. Let’s create tomorrow together. A Data scientiest will be responsible for Designs, develops, programs and implements Machine Learning solutions , Implements Artificial/Augmented Intelligence systems/Agentic Workflows/Data Engineer Workflows, Performs Statistical Modelling and Measurements by applying data engineering, feature engineering, statistical methods, ML modelling and AI techniques on structured, unstructured, diverse “big data” sources of machine acquire data to generate actionable insights and foresights for real life business problem solutions and product features development and enhancements. Responsibilities: Integrates state-of-the-art machine learning algorithms as well as the development of new methods Develops tools to support analysis and visualization of large datasets Develops, codes software programs, implements industry standard auto ML models (Speech, Computer vision, Text Data, LLM), Statistical models, relevant ML models (devices/machine acquired data), AI models and algorithms Identifies meaningful foresights based on predictive ML models from large data and metadata sources; interprets and communicates foresights, insights and findings from experiments to product managers, service managers, business partners and business managers Makes use of Rapid Development Tools (Business Intelligence Tools, Graphics Libraries, Data modelling tools) to effectively communicate research findings using visual graphics, Data Models, machine learning model features, feature engineering / transformations to relevant stakeholders Analyze, review and track trends and tools in Data Science, Machine Learning, Artificial Intelligence and IoT space Interacts with Cross-Functional teams to identify questions and issues for data engineering, machine learning models feature engineering Evaluates and makes recommendations to evolve data collection mechanism for Data capture to improve efficacy of machine learning models prediction Meets with customers, partners, product managers and business leaders to present findings, predictions, foresights; Gather customer specific requirements of business problems/processes; Identify data collection constraints and alternatives for implementation of models Working knowledge of MLOps, LLMs and Agentic AI/Workflows Programming Skills: Proficiency in Python and experience with ML frameworks like TensorFlow, PyTorch LLM Expertise: Hands-on experience in training, fine-tuning, and deploying LLMs Foundational Model Knowledge: Strong understanding of open-weight LLM architectures, including training methodologies, fine-tuning techniques, hyperparameter optimization, and model distillation. Data Pipeline Development: Strong understanding of data engineering concepts, feature engineering, and workflow automation using Airflow or Kubeflow. Cloud & MLOps: Experience deploying ML models in cloud environments like AWS, GCP (Google Vertex AI), or Azure using Docker and Kubernetes.Designs and implementation predictive and optimisation models incorporating diverse data types strong SQL, Azure Data Factory (ADF) Qualifications: Bachelors degree, Masters or PhD in statistics, mathematics, computer science or related discipline preferred 0-2 years Statistics modeling and algorithms Machine Learning experience including deep learning and neural networks, genetics algorithm etc Working knowledge with big data – Hadoop, Cassandra, Spark R. Hands on experience preferred Data Mining Data Visualization and visualization analysis tools including R Work/project experience in sensors, IoT, mobile industry highly preferred Excellent written and verbal communication Comfortable presenting to Sr Management and CxO level executives Self-motivated and self-starting with high degree of work ethic Position Specific Information Travel Requirements (as a % of time): <10% Able to telework? Yes/no – if yes, % of time and expectations while teleworking Yes, 70%. To visit Zebra site 2-3 days a week or every other week Personal Protective Equipment (PPE) Required (safety glasses, steel-toed boots, gloves, etc.): No U.S. Only – Frequency Definitions for Physical Activities, Environmental Conditions and Physical Demands: Never – 0% Occasionally - 0-20 times per shift or up to 33% of the time Frequently - 20-100 times per shift or 33-66% of the time Constantly - Over 100 times per shift or 66-100% of the time Physical Activities (all U.S. only jobs): Enter in N, O, F or C as applicable Enter in Frequency (N)Never, (O)Occasionally, (F)Frequently or (C)Constantly Ascending or descending ladders, stairs, scaffolding, ramps, poles and the like. Working from heights such as roofs, ladders, or powered lifts. N N Moving self in different positions to accomplish tasks in various environments including awkward or tight and confined spaces. N Remaining in a stationary position, often standing or sitting for prolonged periods. Stooping, kneeling, bending, crouching, reaching, pushing/pulling. N N Moving about to accomplish tasks or moving from one worksite to another. N Adjusting or moving objects up to __ pounds in all directions. N Communicating with others to exchange information. F Repeating motions that may include the wrists, hands and/or fingers. F (typing) Operating machinery and/or power tools. N Operating motor vehicles, industrial vehicles, or heavy equipment. N Assessing the accuracy, neatness and thoroughness of the work assigned. F Environmental Conditions (U.S. only): Enter in N, O, F or C as applicable Enter in Frequency (N)Never, (O)Occasionally, (F)Frequently or (C)Constantly Exposure to extreme temperatures (high or low). N Outdoor elements such as precipitation and wind. N Noisy environments. N Other hazardous conditions such as vibration, uneven ground surfaces, or dust & fumes. N Small and/or enclosed spaces. N No adverse environmental conditions expected. N Physical Demands (U.S. only): Check only one below Check only one below Sedentary work that primarily involves sitting/standing. X Light work that includes moving objects up to 20 pounds. Medium work that includes moving objects up to 50 pounds. Heavy work that includes moving objects up to 100 pounds or more (team lift) Must be able to see color. To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you via @zebra.com email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department.

- Experience building machine learning models or developing algorithms for business application - Bachelors or PhD or Master's degree in a technical field (e.g., computer science, statistics, applied mathematics) with 4+ years of relevant experience. - Proven track record of designing, implementing, and deploying successful machine learning solutions for real-world business problems. - Expertise in areas such as natural language processing, computer vision, deep learning, and other cutting-edge ML techniques. - Strong programming skills in Python, R, or other relevant languages, and experience with popular ML frameworks like TensorFlow, PyTorch, or MXNet. - Excellent communication and collaboration skills to effectively work with cross-functional teams. We are seeking a highly talented Applied Scientist to join our MENA Science team and drive the development of state-of-the-art machine learning solutions for our customers in the MENA region. In this role, you will leverage state-of-the-art machine learning and data science techniques to create solutions that directly address critical customer problems. Your work will directly impact the customer experience and profitability of our MENA businesses, helping us enhance catalog quality, improve machine translation, prevent abuse and fraud etc. Key job responsibilities • Invent, implement, and deploy scalable machine learning algorithms and models to solve complex, real-world problems for our MENA customers. • Collaborate closely with cross-functional teams, including product managers, engineers, and other applied scientists, to identify high-impact areas for innovation. • Prototype and test new approaches, such as leveraging large language models (LLMs) and other advanced techniques, to drive measurable improvements in key business metrics. • Tackle a diverse range of challenges, such as improving catalog quality through large language models, enhancing machine translation, augmenting abuse prevention systems etc. • Staying up-to-date with the latest advancements in machine learning and data science, and proactively identifying opportunities to apply these techniques to drive business impact. • Contribute to the broader scientific community by publishing your work at top-tier conferences and journals. A day in the life Diving deep in to ambiguous and complex business problems and translating them to ML problem statements. Applying relevant science solutions for the ML problems. Staying abreast with evolving science landscape and applying the state-of-the-art. About the team MENA tech is spread across Jordan, UAE, India and Seattle, building amazing solutions for customers in the region. We deploy in MENA first but build for the world Proficient in any one of these areas: large language models, NLP (Information retrieval, Machine Translation), Computer Vision, Classification models using Boosting/Bagging or Deep Neural Networks. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

No Of POsitions : 10 Contact Person : Prashanth - 9108542221 or mail to [email protected] Teaching & Instruction Prepare and deliver lectures, tutorials, labs, and seminars in core computer science subjects (e.g., Programming, Data Structures, Algorithms, DBMS, Operating Systems, AI, ML, etc.) Design course content, assignments, and assessments aligned with the syllabus and academic standards Use innovative teaching methods including online learning platforms, coding simulations, and real-time projects Supervise student projects, internships, and dissertations Academic Administration Participate in departmental meetings, curriculum design, and accreditation processes (NAAC, NBA, etc.) Maintain academic records, grading, attendance, and student performance evaluation Serve as academic advisor or mentor to assigned students Research & Publications Engage in research activities and publish in peer-reviewed journals/conferences Apply for research grants, patents, and contribute to funded projects Guide postgraduate students in research and scholarly writing Professional Development Stay updated with advancements in the field through continuous learning Attend faculty development programs, workshops, seminars, and conferences Foster industry-academia collaboration through guest lectures, MoUs, etc. Other Duties Assist in admission counseling, student clubs, placements, and outreach activities Perform any other academic or administrative tasks assigned by the HOD or Management Qualifications: Educational: Master’s Degree in Computer Science / Information Technology / related field (MCA / M.Tech / M.Sc CS) Ph.D. (preferred or mandatory as per UGC/AICTE norms for Assistant/Associate Professor roles) Experience: 0–3 years (Lecturer / Assistant Professor) 3–8 years (Associate Professor) 10+ years with leadership and research credentials (Professor) Skills & Competencies: Strong subject knowledge and programming skills (C/C++, Java, Python, etc.) Excellent communication and presentation skills Knowledge of modern teaching tools (Moodle, Google Classroom, etc.) Ability to motivate students and create an inclusive learning environment Team player with organizational and time-management skills Job Type: Full-time Pay: ₹10,871.77 - ₹100,000.00 per month Schedule: Day shift Language: English (Preferred) Work Location: In person Application Deadline: 12/07/2025 Expected Start Date: 21/07/2025

Location: Hyderabad Faculty Name: Professor Tamanna Singh Dubey Academic Area: Finance Research Summary of the Faculty Professor Tamanna Singh Dubey: Professor Tamanna obtained her Ph.D. in Finance from the Ross School of Business at the University of Michigan – Ann Arbor. Her research interests are in empirical Corporate Finance with a specific focus on financial technology, banking, household finance, and financial intermediation. Her current research agenda is to study the impact of innovation in financial intermediation, such as innovation in payments and lending, on households, firms, and the broader economy. Prior to her Ph.D., Professor Tamanna worked as an Investment Banking Analyst at Bank of America Merrill Lynch to raise equity and dollar denominated debt capital for Indian firms. She holds a bachelors in Electrical Engineering from Indian Institute of Technology Kharagpur, an MBA from the Indian Institute of Management Bangalore, and an MA in Economics from the University of Michigan – Ann Arbor. About ISB The Indian School of Business (ISB) evolved from the need for a world-class business school in Asia. The founders, some of the best minds from the corporate and academic worlds, anticipated the leadership needs of the emerging Asian economies. The ISB is committed to creating such leaders through its innovative programs, outstanding faculty, and thought leadership. The Indian School of Business (ISB) provides a robust environment that generates high-quality research that is both contemporary and rigorous. Roles and Responsibilities: You will provide assistance to the faculty in their ongoing research work which includes the following: Data - scrapping, compilation, cleaning and analysis. Synthesis - Literature search and review, summary, presentation, and analytical writing. Research Associate will get exposure in compiling and handling big data sets, learning new techniques and frontier techniques in Econometrics and Causality Regressions. Required Skills and Qualifications: This position is a good fit for a candidate looking to pursue a PhD in Finance or Economics. Qualifications: B Tech (preferably in Electrical Engineering, Signal Processing or Computer Science) OR Master’s degree in a quantitative area such as Economics, Statistics, Industrial Engineering, Computer Science, Mathematics, Data Analytics. Individuals with 4-year bachelor’s degree may apply. Preferred Skills: Experience working with big data systems, concepts, and tools. Working knowledge of statistical software and/or coding proficiency in programming languages such as Python, Stata, R, MATLAB etc. Strong verbal and written communication skills, with attention to every detail. Knowledge of writing API queries and web-scraping algorithms, ML or textual analysis and ability to use data mining techniques to extract data from structured/unstructured tables in PDF files is an added advantage. Motivation to learn and a strong work ethic. Our Commitment towards you ISB is a research-focused business school. It offers a variety of opportunities to understand the current management phenomena in depth, through research brown-bag seminars, workshops, and PhD-level courses. It provides several options to hone a person’s analytical skills. This position is best suited for a candidate with an interest in pursuing a PhD down the line. Along with the competitive salary and plethora of employee benefits, ISB hosts a world-class Learning Resource Centre in the entire Asia, Comprehensive Health and Personal Accident Cover for you and your family members. ISB believes in creating a truly inclusive culture that values diversity, equity, and inclusion for everyone through our ideas and collaborations. For any queries, reach out to - [email protected] . Kindly do not share your resumes or CVs via email. If this role is your true calling, please fill out the form using the below-mentioned link. https://www.cognitoforms.com/IndianSchoolOfBusiness9/FDOHiringForm We will connect with you shortly. Hyderabad Campus Indian School of Business Gachibowli, Hyderabad - 500111 Timings : Monday- Friday, 08:00 AM IST to 06:00 PM IST 040 23187777 0172 4591800 [email protected] [email protected] [email protected] Mohali Campus Indian School of Business Knowledge City Sector 81, SAS Nagar ,Mohali - 140 306

Position : Assistant Professor Contact : Ptrashanth - 9108542221 or ,mail to [email protected] 1. No Of Positions : 10 Qualification Prefered : MTech/ME in CSE & BE/ B Tech in CSE or Information Science Experience : 0 to 10 Yrs 2. MCA (Computer Applications ) with Net , SET Qualified, PhD Preeferable For SOSS No Of Positions - 10 Salary Based On Experiences will be offered , ranges from INR 30,000/- to INR 60,000/-Per Month. Immediate Joiners Prefered Ability to teach Computer Science Subjects , data Science, Machine Learning , Artificial Intelligence Computer Netwoking , Information Science , Programming Languages teaching Ability - Python , Java, C , C# , C++ ...computer programming Languages Ability to solve student querries & guide them for their Projects , Dessertation. Job Type: Full-time Pay: ₹30,000.00 - ₹60,000.00 per month Schedule: Day shift Ability to commute/relocate: Bagalur, Bengaluru, Karnataka: Reliably commute or planning to relocate before starting work (Required) Education: Master's (Preferred) Experience: Teaching: 1 year (Preferred) total work: 1 year (Preferred) Work Location: In person Application Deadline: 14/07/2025 Expected Start Date: 14/07/2025