1655 Doctoral Degree Jobs - Page 29

Teaching Responsibilities Deliver subject-specific lectures (QT, Marketing, Business Law) to BBA and BCA students. Use OBE, Bloom’s Taxonomy, and blended learning methods. Develop lesson plans, course files, and digital content. Assessment & Evaluation Design CO-aligned question papers, assignments, and project assessments. Conduct internal/external evaluations and maintain attainment records. Curriculum Development Participate in syllabus revision and BOS activities. Recommend industry-relevant, NEP-aligned electives (e.g., Analytics, Digital Marketing, Cyber Law). Research & Publications Publish in UGC-CARE, Scopus, ABDC journals.Guide UG research projects and apply for funded research initiatives. NAAC/NBA Documentation Maintain course files, CO-PO-PSO mapping, and attainment data. Support AQAR, SSR, SAR preparation, and IQAC activities. Student Mentoring Mentor students in academics, internships, and placements. Identify and support slow learners and high achievers. Institutional Contribution Serve on academic and administrative committees. Organize guest lectures, workshops, FDPs, and industrial visits. Faculty Development Participate in FDPs, MOOCs (NPTEL, SWAYAM). Stay updated with current tools, industry practices, and legal/marketing trends. Eligibility (UGC/AICTE Norms) Master’s in relevant field (QT, Marketing, Law) with 55% minimum. NET/SET or Ph.D. preferred. Certifications desirable

Summary – JD: Assistant Professor (Finance) Teaching Deliver BBA Finance subjects (e.g., Financial Management, Banking, Investment) Use OBE, Bloom’s Taxonomy, and ICT tools Follow structured lesson planning & student engagement methods Assessment & Evaluation Prepare question papers, assignments, quizzes Ensure CO-PO mapping, timely evaluation, and result submission Curriculum Development Participate in syllabus design and BOS Include emerging areas like FinTech, ESG, Financial Analytics Research & Publication Publish in UGC-CARE/Scopus/ABDC journals Guide student research, apply for projects and grants NAAC/NBA/Quality Assurance Maintain documentation for accreditation Track CO, PO attainment and contribute to SSR, AQAR Student Mentoring Academic and career mentoring Support for internships, placements, and advanced learners Institutional Contribution Active participation in university committees and events Organize FDPs, seminars, and guest lectures Professional Development Attend FDPs, MOOCs (NPTEL/SWAYAM) Regular upskilling in teaching and finance domain Eligibility Master’s in Finance/Commerce with 55%, NET/SET/Ph.D. preferred Additional certifications (e.g., CFA, NISM) desirable

Teaching Responsibilities Teach core BCA subjects: Programming, DBMS, Web Tech, OS, Networks, Cybersecurity, AI, ML, etc. Use ICT tools and blended learning with OBE and Bloom’s Taxonomy. Prepare lesson plans, course files, and conduct practical sessions. Assessment & Evaluation Design internal tests, quizzes, projects, and lab evaluations. Ensure CO-PO-PSO mapping, attainment calculation, and timely result submission. Curriculum Development Participate in BoS and syllabus updates. Propose modern electives: Blockchain, Data Science, DevOps, etc. Align curriculum with NEP 2020 and industry needs. Research & Publications Publish in UGC-CARE/Scopus/SCI journals. Guide student projects; apply for grants and consultancies. Encourage innovation and student research activities. Accreditation & Quality Assurance Maintain documentation for NAAC/NBA (course files, CO-PO mapping). Support IQAC and data preparation for AQAR/SSR/SAR. Mentoring & Student Engagement Academic and career mentoring. Promote certifications, hackathons, internships, and industry readiness. Address slow and advanced learners individually. Institutional Involvement Participate in university committees and academic events. Organize seminars, FDPs, industrial visits, and placement coordination. Professional Development Attend FDPs, workshops, and complete MOOCs (NPTEL, SWAYAM, etc.). Stay updated with tools, platforms, and pedagogical practices. Eligibility (UGC/AICTE norms) Master’s (MCA/M.Sc. CS/M.Tech.) with 55% or more. NET/SET or Ph.D. preferred. Industry certifications desirable (e.g., AWS, Python, Cybersecurity).

Candidate should be graduate. Candidate should have certification in Sports coaching from SAI –NIS (diploma or six-week course) or equivalent certification in coaching from sports associations/federations. Candidate must have 2-3 years’ experience as a coach at School or College level. Experience of having played at District, State or National Level Foundation SVKM - is committed to the cause of providing high quality education at various levels and has over the past 82 years grown into an educational foundation. The group is focussed at developing global thinking consistent with national interest amongst youngster. Through over 40 prestigious institutes, SVKM is inculcating values, professionalism, social sensitivity and dynamic entrepreneurship in more than 50,000 students throughout India. Our Schools SVKM Dhule School (CBSE Affiliation No. 1130842) comes with a strong lineage of Shri Vile Parle Kelavani Mandal. which has today grown into a huge educational complex imparting high-level education to more than 35,000 students. The group has numerous educational institutes starting from Kindergarten right up to PHD across faculties. Also, the prestigious NMIMS University Mumbai, is a part of the renowned trust. SVKM School, Dhule, with a strong foundation of CBSE curriculum and a core focus on holistic learning aims to nurture and build the leaders of tomorrow. Located on an eight - acre piece of sprawling land, it is equipped with the latest technology, state-of-the-art facilities and equipment and the faculty comprising of experienced teachers with excellent teaching track records has been recruited from across the country.

JD for Basketball Coach Candidate should be graduate. Candidate should have certification in Sports coaching from SAI –NIS (diploma or six-week course) or equivalent certification in coaching from sports associations/federations. Candidate must have 2-3 years’ experience as a coach at School or College level. Experience of having played at District, State or National Level Foundation SVKM - is committed to the cause of providing high quality education at various levels and has over the past 82 years grown into an educational foundation. The group is focussed at developing global thinking consistent with national interest amongst youngster. Through over 40 prestigious institutes, SVKM is inculcating values, professionalism, social sensitivity and dynamic entrepreneurship in more than 50,000 students throughout India. Our Schools SVKM Dhule School (CBSE Affiliation No. 1130842) comes with a strong lineage of Shri Vile Parle Kelavani Mandal. which has today grown into a huge educational complex imparting high-level education to more than 35,000 students. The group has numerous educational institutes starting from Kindergarten right up to PHD across faculties. Also, the prestigious NMIMS University Mumbai, is a part of the renowned trust. SVKM School, Dhule, with a strong foundation of CBSE curriculum and a core focus on holistic learning aims to nurture and build the leaders of tomorrow. Located on an eight - acre piece of sprawling land, it is equipped with the latest technology, state-of-the-art facilities and equipment and the faculty comprising of experienced teachers with excellent teaching track records has been recruited from across the country.

Job Description Summary This role would require prior experience in investigating process-microstructure-property correlations of structural alloys, preferably nickel and titanium alloys. The candidate must have hands-on experience with operation of mechanical test equipment’s such as creep, tensile and fatigue frames. Ability to develop correlations between material processing methods, resulting structural characteristics, and resulting material properties. Job Description Job Description Company Overview Working at GE Aerospace means you are bringing your unique perspective, innovative spirit, drive, and curiosity to a collaborative and diverse team working to advance aerospace for future generations. If you have ideas, we will listen. Join us and see your ideas take flight! Site Overview Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is our multidisciplinary research and engineering center. Engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing. Role Overview: This role would require prior experience in investigating process-microstructure-property correlations of structural alloys, preferably nickel and titanium alloys. The candidate must have hands-on experience with operation of mechanical test equipment’s such as creep, tensile and fatigue frames. Ability to develop correlations between material processing methods, resulting structural characteristics, and resulting material properties. Additionally, the candidate should possess the following skills: Good teamwork skills and the ability to collaborate effectively within a diverse team Performing a literature search and interpret test results Excellent oral and written communication skills, including being able to communicate the research findings to a team The candidate should be able to perform heat-treatment experiments under expert supervision Hands on experience with advanced material characterization techniques, such as Optical, SEM, and EBSD would be an advantage Ideal Candidate: Candidates should have prior experience in investigating process-microstructure-property correlations of structural alloys, preferably nickel and titanium alloys Required Qualifications Candidates should be pursuing M.Tech/ PhD. Desired Qualification Humble: respectful, receptive, agile, eager to learn Transparent: shares critical information, speaks with candor, contributes constructively Focused: quick learner, strategically prioritizes work, committed Leadership ability: strong communicator, decision-maker, collaborative Problem solver: analytical-minded, challenges existing processes, critical thinker At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate. Additional Information Relocation Assistance Provided: Yes

Company: Heritage Vision Education Trust Position: Assistant Professor - Microbiology Requirements: Educational Qualification: M. Sc. In Microbiology Experience: Min 2-3 Years of Teaching (preferred) (*Preference will be given to Phd & NET candidates) *Candidates must have 55% marks in PG level for teaching position Location: Odisha Job Types: Full-time, Permanent Pay: ₹25,000.00 - ₹35,000.00 per month Schedule: Day shift Education: Master's (Preferred) Experience: Teaching: Min. 2-3 years (Preferred) Job Types: Full-time, Permanent, Fresher Pay: ₹25,000.00 - ₹35,000.00 per month Schedule: Day shift Work Location: In person

Job Title: Marketing Professor Department: Marketing Department Position Type: Full-Time Job Summary: We are seeking an experienced and passionate Marketing Professor to join our academic team. The ideal candidate will be responsible for teaching undergraduate and/or postgraduate marketing courses (PGDM) , conducting research, mentoring students, and contributing to the academic community. This position requires both academic expertise and a strong understanding of current marketing trends and industry practices. Key Responsibilities: Design and deliver lectures, seminars, and workshops in core and elective marketing subjects such as: Principles of Marketing Digital Marketing Consumer Behavior Marketing Strategy Brand Management International Marketing Develop course materials, assessments, and project work aligned with learning outcomes and accreditation standards. Supervise student research projects, dissertations, and internships. Conduct high-quality research and publish in peer-reviewed journals and academic conferences. Stay updated on marketing industry trends and integrate real-world case studies into the curriculum. Participate in curriculum development, departmental meetings, and faculty committees. Engage in community outreach and establish industry linkages for student placement and collaboration. Mentor and advise students regarding academic and career paths. Qualifications: Essential: Ph.D. or equivalent in Marketing, Business Administration, or a closely related field. Proven experience in teaching at the university level. Strong publication record or potential for impactful research. Excellent communication and interpersonal skills. Desirable: Industry experience in marketing or consulting. Experience in developing online/blended learning content. Familiarity with outcome-based education (OBE) and accreditation processes (e.g., NAAC, NBA, AACSB). Job Types: Full-time, Part-time Pay: ₹20,415.27 - ₹35,000.00 per month Schedule: Day shift Fixed shift Work Location: In person

We are looking for experienced data scientists, who have the aspirations and appetite for working in a start-up environment, and with relevant industry experience to make a significant contribution to our platform and solutions. Primary focus would be to apply machine learning techniques for data extraction from documents from variety of formats including scans and handwritten documents. Responsibilities: Develop a learning model for high accuracy extraction and validation of documents, e.g. in mortgage industry Work with state-of-the-art language modelling approaches such as transformer-based architectures while integrating capabilities across NLP, computer vision, and machine learning to build robust multi-modal AI solutions Interact with clients and other team members to understand client-specific requirements of the platform Contribute to platform development team and deliver platform releases in a timely manner • Liaise with multiple stakeholders and coordinate with our onshore and offshore entities • Evaluate and compile the required training datasets from internal and public sources and contribute to the data pre-processing phase. Expected and Desired Skills Either of the following Deep learning frameworks – PyTorch (preferred) or Tensorflow • Good understanding in designing, developing, and optimizing Large Language Models (LLMs), with hands-on experience in leveraging cutting-edge advancements in NLP and generative AI Skilled in customizing LLMs for domain-specific applications through advanced fine-tuning, prompt engineering, and optimization strategies such as LoRA, quantization, and distillation. • Knowledge of model versioning, serving, and monitoring using tools like MLflow, FastAPI, Docker, vLLM. Python used for analytics applications including data pre-processing, EDA, statistical analysis, machine learning model performance evaluation and benchmarking Good scripting and programming skills to integrate with other external applications • Good interpersonal skills and the ability to communicate and explain models • Ability to work in unfamiliar business areas and to use your skills to create solutions • Ability to both work in and lead a team and to deliver and accept peer review • Flexible approach to working environment and hours. Experience Between 4-6 years of relevant experience Hands-on experience with o Python and/or R o Machine Learning o Deep Learning (desirable) End to End development of a Deep Learning based model covering model selection, data preparation, training, hyper-parameter optimization, evaluation, and performance reporting. Proven experience working in both smaller and larger organisations having multicultural exposure Domain and industry experience by serving customers in one or more of these industries - Financial Services, Professional Services, other Consumer Industries Education Background: A Bachelor’s degree in the fields of study such as Computer Science, Mathematics, Statistics, and Data Science with strong programming content from a leading institute An advanced degree such as a Master's or PhD is an advantage Job Type: Full-time Pay: ₹1,000,000.00 - ₹2,000,000.00 per year Schedule: Day shift Fixed shift Work Location: In person

About Lowe’s Lowe’s Companies, Inc. (NYSE: LOW) is a FORTUNE® 50 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2023 sales of more than $86 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Bengaluru, Lowe’s India develops innovative technology products and solutions and delivers business capabilities to provide the best omnichannel experience for Lowe’s customers. Lowe’s India employs over 4,200 associates across technology, analytics, merchandising, supply chain, marketing, finance and accounting, product management and shared services. Lowe’s India actively supports the communities it serves through programs focused on skill-building, sustainability and safe homes. For more information, visit, www.lowes.co.in. About the Team DACI Merchandising primarily focused on Assortment planning and store merchandising execution areas. The team is responsible for solving the problem of which items should we be placed in each store and also determining if we are using the retail selling space effectively or not. We are primarily the data team, using big data and machine learning to help the business users make the best assortment and store merchandising execution decisions. Job Summary: The primary purpose of this role is to provide advanced analytical capabilities to support data science initiatives. This position gains experience in various areas including, but not limited to: predictive modeling; personalization and recommendation algorithms; natural language processing and text mining; search recall, precision, ranking, and related problems; optimization and mathematical programming with applications in merchandising like assortment optimization, retail space planning, and product description,. A Data Scientist solves complex problems that do not yet have solutions in the research. Therefore, the individual in this role must be an expert in his/her field and confident in interacting and proposing solutions to the business. This role influences the thought process and methodology for other team members. Roles & Responsibilities: Core Responsibilities: You will build and deploy state of the art predictive models for use cases such as assortment optimization, automated item listing validation and retail space optimization. Develop and maintain pipelines for training and deploying machine learning models Develop and maintain forecasting models and tools using frameworks such as TensorFlow Design and deploy scalable API services for distributing model output data Support enterprise forecasting applications Collaborate with Data Scientists and Data Engineers to ensure that specifications are translated into flexible, scalable, and maintainable solutions Stay abreast of state-of-the-art machine learning technologies; follow code standards and best practices Mines and extracts data and applies statistics and algorithms necessary to derive insights for Lowe's Supports the generation of an automated insights generation framework for Lowe's business partners to effectively interpret data Provides actionable insights through data science on Merchandising priorities Tracks success of Lowe's through the development of dashboard reports that measure financial results, customer satisfaction, and engagement metrics Conducts deep statistical analysis, including predictive and prescriptive modeling in order to provide a competitive advantage at Lowe's Maintains expert-level knowledge on industry trends, emerging technologies, and new methodologies and applies it to projects as well as using it to guide team members Translates or provides guidance to more junior level scientists to translate requirements into an analytical approach; asks the right questions to understand the problem; validates understanding with Stakeholder or Manager Builds or provides guidance for building the analytic approach to solving a business problem; helps identify the sources, methods, parameters, and procedures to be used; clarifies expectations with stakeholders and plans resources accordingly Leverages deep understanding of statistical techniques and tools to analyze data according to the project plan; communicates with stakeholders to provide updates and manage scope Maintains knowledge of techniques, technology, industry trends, best practices, and emerging methodologies Years of Experience: 2-5 years of experience in data science Required Minimum Qualifications : Bachelor's Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field (or equivalent work experience in a related field) AND 4 years of experience in analytics AND 2 years of programming experience (Python, Java, Scala, Rust, etc.) OR Master's Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 2 years of experience in analytics AND 1 year of programming experience (Python, Java, Scala, Rust, etc.) OR Ph.D. in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 1 year of experience in analytics Also • Knowledge of SQL and various statistical modeling or machine learning techniques Skill Set Required Primary Skills (must have) Hands on experience in AI/ML Hands on experience in Python to build applications that are scalable Statistics Strong problem solving skills Data munging/wrangling Experience with SQL Secondary Skills (desired) Experience with Big Data systems like Hadoop or Big Query or Druid Experience solving data science problems in retail Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law.

Work Schedule Standard (Mon-Fri) Environmental Conditions Various outside weather conditions Job Description About Company : Thermo Fisher Scientific Inc. (NYSE: TMO) is the world leader in serving science, with annual revenue of approximately $44 billion. Our Mission is to enable our customers to make the world healthier, cleaner, and safer. Whether our customers are accelerating life sciences research, solving analytical challenges, growing efficiency in their laboratories, improving patient health through diagnostics, or developing and manufacturing life-changing therapies, we are here to support them. Role: Bioproduction Group, Purification and Pharma Analytics division is seeking a motivated and dedicated protein purification Field Application scientist to support Poros and CaptureSelect (CS) resin design in, optimization and troubleshooting at Downstream purification and process development primarily for novel therapeutic monoclonal antibody products including bispecifics, Vaccines and general bioprocessing throughout all stages of clinical trials at key bioprocessing customer sites in India. Responsibility Conduct routine Knowledge culture seminars to highlight Poros and CS resin technology and application at key customer sites Initiate and support customer evaluation of resins with SOP and guidance on process development / evaluations Work closely with BPG cell culture team and map ongoing molecule / process development ay key customer sites to ensure technical engagement and awareness of resin solution Support customer with high-throughput protein purification process development using Poros and CaptureSelect resin Support and guide customers in downstream process development, optimization, and scale-up manufacturing, including column packing support and CIP Map customer problems and develop solutions needed optimization of process on Poros and CaptureSelect resins Champion Poros, CS technology and applications and present data at Key conferences and events Empower customers on to new technology and NPI solutions Meet country specific design in and process development targets Education and Experience Master’s degree or Doctoral degree (Ph.D.) in biochemistry, bioengineering, biology, chemistry or related fields, preferably with some relevant industry experiences with 3 to 5 years of demonstrated ability in downstream process development or manufacturing Knowledge, Skills and Abilities: Good knowledge in protein chemistry and bioprocessing Previous Field based application support experience. Good knowledge and hands-on experiences in various types of column/membrane chromatography (affinity, size exclusion, ion exchanges, multi-mode) and filtration technology; TFF Experiences in using AKTA line of purification instruments Experiences in using ultrafiltration/diafiltration instrument for buffer exchange, product concentration, and formulation Experiences in protein analysis such as HPLC, CGE, ELISA, etc. is a plus Good verbal and written communication skills, organized, coordinated, independent, meticulous Ability to multitask on different projects and work with multiple customers locally, regionally & globally Able to perform successfully under pressure while prioritizing and handling multiple projects or activities Ability to travel extensively and provide sustained customer support BENEFITS We offer attractive remuneration, annual incentive plan bonus, healthcare, and a range of employee benefits. Thermo Fisher Scientific offers employment with an innovative, forward-thinking organization, and outstanding career and development prospects. We offer an exciting company culture that stands for integrity, intensity, involvement, and innovation! At Thermo Fisher Scientific, each one of our 70,000 extraordinary minds have a unique story to tell. Apply today http://jobs.thermofisher.com. ThermoFisher is committed to crafting a diverse work environment that values and respects individuals from all backgrounds. ThermoFisher Scientific is an EEO/Affirmative Action Employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.

At OneNote, we are driven by a bold vision: "To help activate a second brain for everyone to realize their full potential." We are embarking on the next chapter of our evolution via Copilot Notebooks: notebooks designed for an AI powered future. We're building solutions that make capturing ideas seamless, understanding complex information intuitive, and taking informed action Whether it’s brainstorming the next big idea, organizing life’s intricate details, or simply finding clarity amid complexity, OneNote Copilot Notebooks is here. Join us as we reshape the future of AI by turning possibilities into realities — and help millions of users across the globe activate their second brain. We are looking for a Data Scientist II to join our team and help us shape the future of OneNote. In this role, you will partner with product, design, and engineering teams to deliver actionable insights, build experimentation frameworks, and identify growth opportunities. Your work will directly influence product development and user engagement strategies across millions of users. Our culture thrives on innovation, inclusion, growth mindset, and a strong sense of purpose. If you’re passionate about using data to drive decisions and want to work on a high-impact product at the cutting edge of productivity and AI, we’d love to hear from you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities You will understand each customer’s business goals and learn best practices for identifying growth opportunities. You’ll also examine projects through a customer-oriented focus and manage customer expectations regarding project progress. Collaborate with cross-functional teams to define metrics, design experiments, and uncover user behaviors that influence product adoption and growth. Use statistical analysis, data mining, and machine learning techniques to generate insights from large-scale structured and unstructured data. Acquire the data necessary for your project plan and use querying, visualization, and reporting techniques to describe that data. You’ll also explore data for key attributes and collaborate with others to perform data science experiments using established methodologies. Model techniques, select the correct tool and approach to complete objectives, and evaluate the output for statistical and business significance. You’ll also analyze model performance and incorporate customer feedback into its evaluation. Build dashboards and reports that enable product teams to track key performance indicators and make data-informed decisions. Develop and iterate on models to identify high-value scenarios, recommend features, and improve user retention and engagement. Communicate insights clearly and effectively to both technical and non-technical stakeholders, influencing product strategy and priorities. Contribute to a culture of data excellence by championing best practices in experimentation, measurement, and data governance. Understanding the current state of the industry, including current trends, so that you can contribute to thought leadership best practices. Qualifications Required Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical tec OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical tec OR equivalent experience. 1+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting experience. Proficiency in SQL and at least one programming language such as Python or R. Experience with business intelligence tools (e.g., Power BI, Tableau). Strong statistical knowledge and experience with A/B testing, causal inference, or other experimentation methodologies. Experience working with large datasets and big data technologies (e.g., Azure Data Lake, Synapse, Databricks, Spark, or equivalent). Ability to work independently and collaboratively in a fast-paced, ambiguous environment. Candidate must be comfortable manipulating and analyzing complex, high dimensional data from varying sources to solve difficult problems. Candidate must be able to communicate complex ideas and concepts to leadership and deliver results. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: Experience in product analytics, growth strategy, or user engagement optimization. Familiarity with Microsoft Office ecosystem or productivity tools is a plus. Experience with Copilot/LLM-related user scenarios or AI-driven products. Strong storytelling and communication skills, with the ability to turn complex data into clear, actionable narratives for executives and product teams. Passion for building delightful and impactful user experiences with measurable outcomes. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Are you passionate about shaping the future applications of AI and empowering millions of users to unlock their full potential? The OneNote team is at the forefront of an exciting transformation with Copilot Notebooks: intelligent, dynamic notebooks infused with powerful AI that act as a true "second brain." Imagine effortlessly capturing ideas, intuitively understanding complex information, and seamlessly taking informed action. This is the heart of our mission. As a Applied Scientist II working in OneNote team, your core mission is to deliver high quality AI-scenarios for Copilot Notebooks. You’ll be responsible for adopting the latest ML technologies, measuring the impact of models and working with product teams to design AI-powered experiences. We are looking for candidates who are creative, self-driven, curious, people-oriented and comfortable defining a path through ambiguity towards high-level goals. This opportunity will allow you to work in an exciting and fast-paced environment, collaborating closely with teams across multiple organizations and ship products globally. You’ll have access to the latest models, research and ML techniques that you can bring to the product teams, as well as opportunities to contribute back to the scientific community (via presentations etc). Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Come up with evaluation techniques, datasets and metrics to measure the impact of the latest models on product scenarios. Work with product teams in designing AI-powered experiences. Collaborate with research teams to adopt the latest ML technologies into the product. Push the boundaries of AI innovation by partnering with platform teams and working with frontier models. Build and deploy Machine Learning (ML) models, create data pipelines, and manage training and test datasets. Foster a healthy and inclusive team environment, provide technical guidance to other applied scientists, and act as a mentor Participate in onboarding of junior team members and assist in developing academics to the members of multidiscipline teams. You’ll identify new research talent to join Microsoft and collaborate with the academic community to develop the recruiting pipeline. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 3+ years of experience in machine learning, deep learning, natural language processing, computer vision, and/or statistics. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: 3+ years of experience in end-to-end development for building, shipping, and iterating on high-impact ML models. Proficiency in Python and familiarity with coding in multiple languages. Proficiency in using ML libraries from sources such as Hugging Face. Expertise in implementing, training, and debugging transformer-based ML models and other related tools and technologies for building and shipping large language models (LLM) applications. Published papers in reputed ML conferences and/or contributions to open-source ML projects is a plus. Effective communication skills, maintaining customer experience and quality along with the ability to work across groups and disciplines. Ability to quickly ramp up on various domains within Machine Learning. Experience shipping high-quality products at scale is a plus. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Skill: Responsible AI & Research Integration Exp: 10 to 18 years Location: Bangalore This is a high-impact role for an applied AI safety researcher with strong translation capabilities between academic research, technical product development, and ecosystem engagement. The role is ideal for a candidate who thrives at the intersection of science, systems thinking, and strategic influence. Role Overview The Senior Scientist – Responsible AI & Research Integration is a hybrid role embedded across the Responsible AI Office and the AI Research Lab. This role is focused on advancing the frontiers of Responsible AI and AI safety while ensuring that research outcomes directly inform the company's products, platforms, and internal practices. This role is approximately 60% focused on research—pursuing foundational and applied investigations into agentic safety, oversight mechanisms, system interoperability, evaluation methodologies, and the broader challenges of responsible and scalable AI. The remaining 40% is dedicated to translating these insights into tools, features, and governance components that can be embedded into internal systems and external offerings. In addition to contributing original research and prototyping new approaches, the Senior Scientist plays an active role in building partnerships with academic labs, participating in external working groups that are shaping the field of Responsible AI, and providing strategic intelligence on the evolving ecosystem of responsible AI technologies and companies. Key Responsibilities Research & Development (60%) Lead and contribute to applied research efforts in Responsible AI, including topics such as model alignment, transparency, behavioral safety, agentic behavior, and oversight mechanisms for autonomous or multi-agent systems Collaborate with the AI Research Lab and Responsible AI Office to define meaningful research agendas that support both long-term inquiry and practical application Translate research findings into components, evaluation methods, or controls that can be incorporated into product features, platform architecture, or internal governance frameworks Participate in the design and validation of tools that address emerging safety risks and implementation gaps in AI development and deployment Product Strategy & Market Intelligence (25%) Develop product roadmap specifications by translating emerging research and market needs into concrete technical requirements Conduct technical due diligence and evaluation of early-stage startups in the AI safety, governance, and trust space Assess commercial viability and enterprise adoption potential of safety and governance solutions Monitor competitive landscape and identify market gaps in responsible AI tooling Act as a key connector between research and engineering teams, working closely with product leads and framework architects to ensure feasibility and alignment between scientific exploration and development priorities Ecosystem Development & Partnerships (15%) Build and manage collaborative relationships with academic labs, research consortia, and external fellows, identifying opportunities for co-authored research, joint development of tools or benchmarks, and knowledge exchange Establish and maintain relationships with leading AI safety research groups globally (Stanford HAI, UC Berkeley CHAI, MIT CSAIL, Oxford, etc.) Scout and evaluate emerging companies developing solutions for AI oversight, interpretability, alignment, and governance Build relationships with AI safety startups and scale-ups to identify partnership, investment, or acquisition opportunities Participate in venture capital networks and startup accelerators focused on AI safety technologies External Representation & Thought Leadership Coordinate and contribute to external working groups focused on advancing standards, best practices, or evaluation methodologies for Responsible AI and safety-aligned systems Represent the company in research summits, public forums, and academic communities to share work, shape dialogue, and help position the organization as a trusted leader in the development of responsible, high-performing AI systems Contribute to internal education and knowledge dissemination efforts by sharing research findings, facilitating workshops, and advising teams on complex or emergent risks in AI systems Required Qualifications This role requires a strong background in AI/ML research, with a focus on safety, Responsible AI, Trust, agentic research, and related technical domains. Candidates should have experience contributing to original research, working across interdisciplinary teams, engaging external research ecosystems, and been involved in product launches. Technical Requirements PhD in Computer Science, Artificial Intelligence, Cognitive Systems, or a related discipline Strong publication record or equivalent contributions in AI safety, agent alignment, multi-agent systems, fairness, interpretability, or risk-aware AI Proven ability to translate research into production-ready tools, software components, or product capabilities Hands-on experience conducting applied research and collaborating with engineering or product teams Familiarity with foundational model architectures, ML evaluation pipelines, and lifecycle governance frameworks Experience with agentic AI systems, multi-agent coordination, and autonomous system oversight Knowledge of AI governance frameworks, regulatory landscapes (EU AI Act, emerging US standards), and compliance requirements Understanding of cybersecurity implications for AI systems, especially autonomous agents Industry & Ecosystem Experience Proven track record of evaluating early-stage AI companies and technologies Experience building strategic partnerships across academia, industry, and policy organizations Understanding of venture capital and startup ecosystem dynamics in AI safety space Network within the responsible AI research and startup communities Familiarity with enterprise AI risk management and safety infrastructure needs Strategic & Communication Skills Comfort working across academic, policy, and industry environments, and engaging with technical audiences at all levels Ability to synthesize insights from academic research, startup innovation, and enterprise needs into coherent product strategies Experience creating technical roadmaps that balance cutting-edge research with practical implementation Proven ability to represent organizations in high-stakes technical and policy discussions Skills in scenario planning for rapidly evolving AI governance landscapes Preferred Qualifications Experience leading or participating in standards initiatives, multi-stakeholder working groups, or AI policy dialogues Previous startup experience or venture capital involvement in AI/ML space Track record of successful academic-industry collaborations Experience with regulatory compliance in AI/ML product development Published research in top-tier AI conferences (NeurIPS, ICML, ICLR, FAccT, AIES) Speaking experience at major AI safety and governance conferences

Job Summary The Journal Publication Coordinator is responsible for managing end-to-end activities related to academic and research journal publication. This includes overseeing manuscript submissions, coordinating peer reviews, ensuring timely publication schedules, liaising with authors, editors, and reviewers, and maintaining the quality and integrity of the publication process. --- Key Responsibilities: ⁠ ⁠ Manage the complete journal publication lifecycle — from manuscript submission to final publishing. ⁠ ⁠Coordinate with editorial board members, reviewers, and authors to ensure smooth workflow. ⁠ ⁠Facilitate and track the peer review process, ensuring quality standards and timelines are met. ⁠ ⁠Maintain communication with authors regarding acceptance, revision, or rejection of manuscripts. ⁠ ⁠Edit, format, and proofread manuscripts for grammar, style, and consistency. ⁠ ⁠Ensure adherence to ethical standards and plagiarism policies (COPE, UGC-CARE, etc.). ⁠ ⁠Work with graphic designers or publishers for layout and design (if required). ⁠ ⁠Maintain journal indexing, citation tracking, and online repository updates (DOI, Scopus, Web of Science, etc.). ⁠ ⁠Support digital publishing through journal websites, repositories, or platforms like OJS. ⁠ ⁠Organize calls for papers, promotional activities, and academic engagement. --- Required Skills & Qualifications: ⁠ ⁠Bachelor’s/Master’s degree in English, Communications, Publishing, or related fields (PhD preferred for academic publishing). ⁠ ⁠Prior experience in academic publishing or editorial roles. ⁠ ⁠Excellent written and verbal communication skills. ⁠ ⁠Familiarity with academic journal databases and publishing tools (OJS, CrossRef, plagiarism checkers). ⁠ ⁠Strong organizational and multitasking skills. ⁠ ⁠Knowledge of referencing styles (APA, MLA, IEEE, etc.) and citation management tools. --- Preferred: ⁠ ⁠Exposure to Scopus/UGC-CARE/ESCI indexed journal processes. ⁠ ⁠Experience working with academic or research institutions Job Type: Full-time Pay: ₹240,000.00 - ₹400,000.00 per year Benefits: Health insurance Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person

JOB DESCRIPTION Job summary: Financial Institutions routinely use models for a broad range of activities including analyzing business strategies, informing business decisions, identifying and measuring risk, valuing exposures or instruments, hedging derivative positions, conducting stress testing, assessing capital adequacy, managing clients assets, informing investment process, measuring compliance with internal limits, maintaining the formal control apparatus of the bank, meeting financial or regulatory reporting requirements and issuing public disclosures. Model Risk arises from the potential adverse consequences of making decisions based on incorrect or misused model outputs and reports, leading to financial loss, poor business decision making, or reputational damage. As part of the firm’s model risk management function, Model Risk Governance and Review Group (MRGR) is charged with developing model risk policy and control procedures, performing model validation activities, providing guidance on a model’s appropriate usage in the business context, evaluating ongoing model performance testing, and ensuring that model users are aware of the model strengths and limitations. Model manager roles within MRGR provide attractive career paths for model development and model validation quants in a dynamic setting working closely with Model Developers, Model Users, Risk and Finance professionals, where they act as key stakeholders on day-to-day model-related risk management decisions as well as conduct independent model validation of new and existing models. Core responsibilities: The successful candidate will be a member of the MRGR Group in Bengaluru covering all Data Science across all ex-trading applications of artificial intelligence and machine learning models across CIB: Engage in new model validation activities for all Data Science models in the coverage area - evaluate conceptual soundness of model specification; reasonableness of assumptions and reliability of inputs; fit for purpose; completeness of testing performed to support the correctness of the implementation; robustness of numerical aspects; suitability and comprehensiveness of performance metrics and risk measures associated with use of model. Conduct independent testing Perform additional model review activities ranging from proposed enhancements to existing models, extensions to scope of existing models. Liaise with Model Developers, Model Users, Risk and Finance professionals to provide oversight of and guidance on appropriate usage, controls around model restrictions & limitations, and findings for ongoing performance assessment & testing Maintain model risk control apparatus of the bank for the coverage area & serve as first point of contact Keep up with the latest developments in coverage area in terms of products, markets, models, risk management practices and industry standards Essential skills, experience, and qualifications : A Ph.D. or Master’s degree in a Data Science oriented field such as Data Science, Computer Science or Statistics, is required. Prior experience in following backgrounds (2-4+ years): Data Science, Quantitative Model Development, Model Validation or Technology focused on Data Science including hands on experience with building/testing machine learning models Strong understanding of Machine Learning / Data Science theory, techniques and tools including Transformers, Large Language Models, NLP, GANs, Deep Learning, OCR, XGBoost, and Reinforcement Learning Understanding of the machine learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop is an asset Proficiency in Python programming. Python machine learning library and ecosystem experience: Numpy Scipy Scikit-learn Theano TensorFlow Keras PyTorch Pandas Excellent writing skills: previous experience in writing scientific text with the ability to describe evidence and present logical reasoning clearly. Strong communication skills and ability to interface with other functional areas in the bank on model-related issues Risk and control mindset: ability to ask incisive questions, converge on critical matters, assess materiality and escalate issues ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

Placement Coordinator Bachelor’s Degree of any statutory University He/she should have good communication skills, coordinating ability and must perform effective job-related activities. He/she should have 5-10 years’ experience in coordination, handling, organizing & conducting activities related to the profile and knowledge in the relevant field. 1. Candidates with experience from education institutions/sector and service sector will be preferred. He/ She should have good communication & interpersonal skills. 2. Preference will be given to candidates having experience in Placement at Institutes of National/International repute. 3. He/she will report to the Director /Deputy Director and coordinate various placement related activities like determining employment interests, liaison with corporate, representing the school for professional and career planning at various forums, maintaining of database, etc. 4. Will Coordinate all the processes of placements with students, faculty Incharge, arrange for campus interviews, preparing brochures with student’s committees and facilitate the lateral and final placements. 5. Should visit Industry and build up industry interface for various training programmes, CEO series, corporate projects, industry visits, etc. In 1981, Shri Vile Parle Kelavani Mandal (SVKM) established Narsee Monjee Institute of Management Studies (NMIMS) to meet the growing demand for management education. In 2003, NMIMS was declared a deemed to be university under Section 3 of the UGC Act 1956. The Vision of the University is to be a globally admired University by 2030. The Mission of NMIMS is to emerge as a Centre of Excellence, best in class in India and Asia and yearning to be the best in the world by 2030. With the legacy of 40 years, NMIMS has grown to being not only one of the top-10 B-schools in India but also emerged as a multi-disciplinary, multi-campus University at Mumbai, Navi Mumbai, Indore, Shirpur, Dhule, Bengaluru, Hyderabad and Chandigarh and seventeen constituent schools that include Management, Family Business, Engineering, Pharmacy, Architecture, Commerce, Economics, Law, Science, Liberal Arts, Design, Performing Arts, Mathematical Science, Agricultural Science, Hospitality Management, Branding & Advertising and Distance Learning. In addition, we have nine Centres of Excellence as well at the University. The consistent academic quality, research focus, faculty from top national and global institutes and strong industry linkages at NMIMS have placed it amongst the nation's prime centres of educational excellence and research today. More than 17000 students and about 750 full-time faculty members, 10 faculty members with Fulbright Scholarship and Humboldt International Scholarship for post-doctoral researchers are part of India's most sought after academic community.

Clinical Counsellor Role Requirement Good Academic Track record (10+12+UG) Master’s Degree in Psychology (Full time course from a reputed institute) with specialization in Clinical/Counselling Psychology. Should have 1- 2 years of Practical working experience in counselling and solving individual’s problems in confidence, especially among young students at University level. Should be able to apply Psycho therapies with valid certifications from known institutes in the field. Experience in conducting workshops on various mental health topics. Additional Roles Face to face counselling on the campus. Online counselling if required. Conducting group sessions Conducting workshops and webinars Delivering educational programs Involvement in crisis management Facilitating content/programs Maintaining a monthly Client intake record and documentation of records. In 1981, Shri Vile Parle Kelavani Mandal (SVKM) established Narsee Monjee Institute of Management Studies (NMIMS) to meet the growing demand for management education. In 2003, NMIMS was declared a deemed to be university under Section 3 of the UGC Act 1956. The Vision of the University is to be a globally admired University by 2030. The Mission of NMIMS is to emerge as a Centre of Excellence, best in class in India and Asia and yearning to be the best in the world by 2030. With the legacy of 40 years, NMIMS has grown to being not only one of the top-10 B-schools in India but also emerged as a multi-disciplinary, multi-campus University at Mumbai, Navi Mumbai, Indore, Shirpur, Dhule, Bengaluru, Hyderabad and Chandigarh and seventeen constituent schools that include Management, Family Business, Engineering, Pharmacy, Architecture, Commerce, Economics, Law, Science, Liberal Arts, Design, Performing Arts, Mathematical Science, Agricultural Science, Hospitality Management, Branding & Advertising and Distance Learning. In addition, we have nine Centres of Excellence as well at the University. The consistent academic quality, research focus, faculty from top national and global institutes and strong industry linkages at NMIMS have placed it amongst the nation's prime centres of educational excellence and research today. More than 17000 students and about 750 full-time faculty members, 10 faculty members with Fulbright Scholarship and Humboldt International Scholarship for post-doctoral researchers are part of India's most sought after academic community.

Key Responsibilities ● Curriculum Delivery: Teach undergraduate-level computer science courses such as Programming, Data Structures & Algorithms, Operating Systems, Databases, Computer Networks, Machine Learning, and System Design. ● Mentorship: Guide students through individual and group projects, providing mentorship and technical feedback. ● Content Development: Collaborate with academic leads to design and refine curriculum content, lab exercises, and assessments. ● Innovation in Teaching: Employ modern pedagogical methods and tools to enhance the learning experience (e.g., flipped classroom, code reviews, online tools). ● Student Evaluation: Conduct evaluations, assign grades, and provide meaningful feedback to students. ● Community Engagement: Contribute to the academic community by organizing tech talks, code labs, workshops, and hackathons. Required Qualifications ● Master’s degree in Computer Science or related field (Ph.D. is a plus). ● Strong grasp of core CS subjects and the ability to explain complex concepts with clarity ● Demonstrated experience in software development or teaching is a plus ● Excellent communication skills and a student-first mindset ● Familiarity with Git, Linux, and modern programming languages (C++, Python, JavaScript, etc.) Preferred Qualifications ● Prior experience in teaching or mentoring students at the undergraduate level ● Contributions to open-source projects or industry experience ● Experience with teaching platforms and tools (e.g., GitHub Classroom, Leet Code, Codechef, Hacker earth, Hacker rank) Interested Candidate can apply below mentioned mobile number or e-mail 8770897078 [email protected] Job Type: Full-time Pay: ₹50,000.00 - ₹75,000.00 per month Benefits: Cell phone reimbursement Internet reimbursement Provident Fund Schedule: Day shift Fixed shift Rotational shift Supplemental Pay: Commission pay Performance bonus Quarterly bonus Application Question(s): Candidate must be comfortable for Rotational week off Sunday Working. Any other day, weekly off Required immediate joiner only or 15 days only Master’s degree in Computer Science or related field (Ph.D. is a plus). BTECH & MTECH ONLY Familiarity with Git, Linux, and modern programming languages (C++, Python, JavaScript, etc.) Demonstrated experience in software development or teaching is a plus Candidate must be comfortable for Comfortable for 50 k to 75 k monthly salary which is totally depends on interview & Last CTC Only + PF Candidate must have Minimum 1 year of experience as a CS FACULTY Candidate must be comfortable for final round walk-in Interview in banglore Rathinam Business School Education: Bachelor's (Required) Language: English (Required) Location: Bangalore, Karnataka (Required) Work Location: In person Expected Start Date: 30/12/2025

Job Title : Academic Content Writer (Freelance) Industry : EduSaaS / EdTech Location : Rohini, Delhi (Remote Work) Employment Type : Freelance (Flexible Timing | Day Shift) Compensation : ₹25,000 – ₹40,000 per month (based on word count and output) Job Overview: We are seeking a skilled Academic Content Writer with 2–3 years of relevant experience in the EduTech or EduSaaS industry. The ideal candidate should possess strong expertise in academic writing, especially for Postgraduate (PG) and PhD-level content, including research papers, thesis, and journal publications . Key Responsibilities: Create high-quality, plagiarism-free academic content for PG and PhD level students. Research and write academic documents in various disciplines as per provided guidelines. Ensure timely delivery of assignments within defined Turnaround Time (TAT) . Optimize content for SEO using relevant keywords and best practices . Work closely with internal teams to understand content requirements. Maintain academic tone and formatting as per university/journal standards. Requirements: 2–3 years of proven experience in academic writing , preferably in the EduSaaS/EduTech domain. Strong knowledge of academic formats, referencing styles (APA, MLA, Harvard, etc.). Familiarity with SEO content writing and keyword optimization. Excellent research and grammar skills. Ability to manage multiple tasks with flexible timing. Prior experience with PhD-level publications will be preferred. Perks: Remote work with flexible working hours. Work as a freelancer with consistent projects. Competitive compensation based on performance and word count. Interested candidates may email their CV and writing samples to: [email protected] Or WhatsApp only (no calls): 9211712210 Job Type: Freelance Contract length: 12 months Pay: ₹25,000.00 - ₹40,000.00 per month Schedule: Day shift Morning shift Rotational shift Weekend availability Supplemental Pay: Commission pay Language: Hindi (Required) English (Required) Work Location: In person Expected Start Date: 08/07/2025

Department: Biology – DST Location: Shameerpet About Us: Sai Life Sciences is one of the fastest-growing Contract Research, Development, and Manufacturing Organizations (CRDMOs). As a pure-play, full-service partner, we collaborate with over 300 global innovator pharma and biotech companies to accelerate the discovery, development, and commercialization of their NCE programs. We have over 3000 employees across our facilities in India, the UK, and the USA, working together to deliver scientific excellence and customer success. We are a Great Place to Work certified organization with a culture of openness, mutual respect, and inclusivity. We embrace diversity and follow equal opportunity practices across all levels. Key Responsibilities : To work on structural biology projects starting with X-ray crystallography. involved in protein crystallization, co-crystallization and crystal soaks with different compounds, data collection at local diffractometers and synchrotrons Data processing, structure determination, and validation. Experience/Qualification: PhD with 0-2 years of relevant industry experience. Key Competencies (Technical, Functional & Behavioural): Good communication skills Should possess good team management skills.

Maths Assistant Professor With Minimum of 3 Years Experience. Phd /NET/SET is must in their respective stream UG and PG must be in regular Job Type: Full-time Schedule: Fixed shift Education: Doctorate (Preferred) Experience: total work: 3 years (Preferred)

Required Assistant Professors in the department of Physics, interested can contact or can share the profiles. Qualification : Msc, Ph.D in Physics ( UG & PG - Both must be in regular with 1st Class only ) UGC- NET/SLET/SET required. Gender : Male / Female Experience : 0 to 5+ years CTC : as per institute norms Job Location : Chembarambakkam near Poonamallee Note : Immediate joiners and persons from in and around Chennai required. Job Type: Full-time Benefits: Commuter assistance Schedule: Day shift Fixed shift Supplemental Pay: Performance bonus Yearly bonus Education: Doctorate (Required) Experience: total work: 2 years (Required)

Position: Assistant Professor – Electronics and Telecommunication Requirements: Educational Qualification: Masters in Electronics and Telecommunication Experience: Min 2-3 Years of Teaching (preferred) (*Preference will be given to PhD & NET candidates) *Candidates must have 55% marks in PG level for teaching position Location: Odisha Job Types: Full-time, Permanent Pay : ₹25,000.00 - ₹35,000.00 per month *Salary negotiable as per qualification and experience Schedule: Day shift Education: Master's (Preferred) Experience: Teaching: Min. 2-3 years (Preferred) Job Type: Full-time Pay: ₹25,000.00 - ₹35,000.00 per month Work Location: In person

Wanted Assistant Professor for Department of Chemistry Candidate Profile: Educational Qualification: BSc Chem +MSc Chem+Phd/NET/SET If the candidate has only completed BSc and MSc, NET or SET is must with minimum of 3 years experience in teaching. If the candidate has completed Phd in Distance Education Minimum 3 years experience is required in Teaching. Location: Chembarambakkam, Chennai Candidate within 15km to 20Km radius can apply Job Type: Full-time Schedule: Fixed shift Morning shift Education: Doctorate (Preferred) Experience: total work: 3 years (Preferred)