1712 Doctoral Degree Jobs - Page 41

Position: UGC‑NTA NET Research Methodology Faculty Location: Kozhikode, Kerala (Hybrid/Remote options available) Employment Type: Part-time / Contractual Compensation: Competitive hourly rate Role Overview Join our growing EdTech team to guide and mentor aspirants preparing for the UGC‑NET Research Methodology section (typically under Paper I). You will be responsible for delivering high-quality instruction, developing relevant content, and helping students navigate complex concepts with clarity and confidence. Key Responsibilities Teach key concepts in Research Methodology as outlined in the UGC‑NET Paper I syllabus. Develop structured lesson plans, study notes, quizzes, and mock tests tailored to UGC‑NET standards. Analyze exam trends to adapt teaching strategies and improve content relevance. Provide prompt feedback, clear student doubts, and evaluate progress through regular assessments. Coordinate with the academic and content teams to ensure quality, accuracy, and consistency across modules. Qualifications & Skills Master’s degree or Ph.D. in Education, Research Methodology, or related field (UGC‑NET qualified essential). Minimum 1–2 years of teaching or content development experience related to UGC‑NET Paper I. Strong command over research concepts such as hypothesis formulation, sampling methods, data analysis, etc. Excellent communication and presentation skills. Comfortable using digital platforms such as Zoom, Google Classroom, and other EdTech tools. Dedicated, student-focused, and driven by academic integrity. What We Offer Flexible working hours and remote teaching opportunities. A collaborative and growth-driven EdTech environment. Competitive compensation with performance-based incentives. Opportunities for upskilling and professional development. Job Types: Part-time, Contractual / Temporary Supplemental Pay: Performance bonus Work Location: In person / Remote Job Types: Full-time, Part-time Benefits: Cell phone reimbursement Internet reimbursement Schedule: Day shift Supplemental Pay: Yearly bonus Work Location: In person

TEACHERS !! FULLTIME & PARTTIME TUTORS FOR SUBJECTS BIOLOGY ELIGIBLITY EXCELLENT SALARY OFFERED PHD SCHOLARS AND TEACHERS WITH MORE THAN 2-3 YEARS OF EXPERIENCE CAN APPLY SALARY OFFERED 2.5-5.5 LAKHS PER ANNUM ACHARYA EDUCATION +919865440099 Job Types: Part-time, Fresher, Contractual / Temporary, Freelance Contract length: 10 months Pay: ₹20,000.00 - ₹21,000.00 per month Benefits: Flexible schedule Schedule: Monday to Friday Morning shift Rotational shift Weekend availability Supplemental Pay: Yearly bonus Education: Master's (Preferred) Experience: Teaching: 2 years (Preferred) Making lesson plans: 2 years (Preferred) total work: 1 year (Preferred) Language: English (Preferred) Work Location: In person Application Deadline: 15/07/2025 Expected Start Date: 29/06/2025

TEACHERS !! WANTED FULLTIME & PARTTIME TUTORS FOR SUBJECTS PHYSICS CHEMISTRY BIOLOGY MATHEMATICS ELIGIBLITY EXCELLENT SALARY OFFERED PHD SCHOLARS AND TEACHERS WITH MORE THAN 2-3 YEARS OF EXPERIENCE CAN APPLY SALARY OFFERED 2.5-5.5 LAKHS PER ANNUM ACHARYA EDUCATION +919865440099 Job Types: Part-time, Fresher, Contractual / Temporary, Freelance Contract length: 10 months Pay: ₹20,000.00 - ₹25,000.00 per month Benefits: Flexible schedule Schedule: Monday to Friday Morning shift Weekend availability Supplemental Pay: Performance bonus Yearly bonus Education: Doctorate (Preferred) Experience: Teaching: 2 years (Preferred) total work: 2 years (Preferred) Work Location: In person Application Deadline: 25/07/2025 Expected Start Date: 29/06/2025

About Deep Connection. We are an integrated health-tech startup focused on capacity building and the holistic development of children. Our mission is to empower parents with tools and insights to raise capable, confident, and successful children. We enable the proactive discovery, early identification, and effective management of developmental disorders through technology-driven solutions that support both preventive care and developmental growth. Key responsibilities: 1. Conduct psychological assessments (developmental, cognitive, emotional, and behavioral) 2. Identify developmental delays, learning difficulties, and emotional concerns 3. Develop and implement personalized intervention strategies 4. Collaborate with program designers, speech therapists, and movement coaches 5. Provide one-on-one counseling and support sessions for children and parents 6. Contribute to SEL curriculum design and behavior observation reports 7. Monitor progress and adjust treatment/intervention plans accordingly 8. Conduct parent workshops and feedback sessions 9. Maintain accurate documentation and follow ethical standards Requirements: 1. Master’s or Doctorate in Psychology with specialization in Child/Clinical Psychology 2. BED- Special Education 3. Minimum 0-1 years of experience working with children 4. Certification or training in play therapy, CBT, or special needs (preferred) Job Types: Full-time, Permanent, Fresher, Internship Contract length: 3 months Pay: ₹8,000.00 - ₹15,000.00 per month Benefits: Health insurance Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person

Roles and Responsibilities Teach undergraduate and graduate-level courses in Computer Science, Information Technology, Software Engineering, Data Science, Cyber Security, Artificial Intelligence, and related fields. Design, update, and deliver course content, assessments, and evaluations. Incorporate modern teaching methods including e-learning tools, case-based teaching, and experiential learning. Conduct research and publish papers in reputed journals/conferences. Conduct independent and collaborative research aligned with institutional research goals. Publish research papers in peer-reviewed journals, conference proceedings, and books. Apply for external research grants and manage funded research projects. Participate in curriculum development, academic planning, and departmental activities. Guide junior faculty, assist in peer reviews, and contribute to faculty development. Serve as a member or chair of academic and administrative committees. Support curriculum design and accreditation processes (e.g., NBA, NAAC, ABET). Advise and mentor students on academic and career-related matters. Collaborate with industry partners for project-based learning initiatives. Promote student engagement in research, innovation, and co-curricular activities. Participate in department-level and institution-wide strategic planning. Foster industry-academia partnerships, MoUs, and collaborative programs. Represent the department at national/international academic and industry forums. Strong research profile with publications in Scopus/Web of Science indexed journals. Experience with AICTE/UGC norms, NBA/NAAC processes. Demonstrated ability to integrate technology and innovation in pedagogy. Qualifications and Experience: Ph.D. in Computer Applications / IT / Computer Science or a closely related field. Masters degree (MCA/M.Sc. IT/MTech. or equivalent) with first class. Minimum of 10 years of teaching/research/industry experience, including 3 years as Assistant Professor. Key Skills and Competencies: Subject expertise in areas such as AI, ML, Data Science, Cybersecurity, Cloud Computing, or Software Engineering. Effective communication and interpersonal skills. Ability to inspire and motivate students and colleagues. Strong organizational and administrative capabilities. Job Type: Full-time Pay: ₹50,000.00 - ₹60,000.00 per month Benefits: Provident Fund Work Location: In person

Key Responsibilities: Teach Commerce and finance courses at the undergraduate, postgraduate levels. commerce. Develop curriculum for finance courses and contribute to the continuous improvement of academic programs. Supervise student research and mentor junior faculty. Engage in high-quality research leading to publications in reputed journals. Contribute to institutional development through committee work, conferences, and outreach activities. Secure external research funding and participate in consultancy projects where applicable. Design and deliver innovative course modules aligned with industry trends. Participate in academic and professional development activities of the department. Collaborate with industry and government agencies on research and training programs. Experience in curriculum development and accreditation processes (e.g., AACSB, NAAC, NBA). Industry interface or consulting experience is a plus. Excellent communication and interpersonal skills. Qualifications & Experience: Ph.D. in Finance/Commerce from a recognized university. Minimum 10 years of teaching/research experience, including at least 3 years in an Associate role. Demonstrated research excellence through publications in Scopus/ABDC/SSCI indexed journals. Evidence of high-quality research and publications in peer-reviewed journals. Proven ability to guide postgraduate students and Ph.D. scholars. Familiarity with digital teaching tools and modern pedagogical practices Experience in financial modeling, data analytics, or fintech applications preferred. Strong record of teaching effectiveness and use of technology in pedagogy. Desirable Skills: CFA/FRM or similar professional certifications. Participation in international research conferences and grant-winning projects. Experience with case writing, consulting, or industry-linked projects. Job Type: Full-time Pay: ₹50,000.00 - ₹60,000.00 per month Benefits: Provident Fund Schedule: Day shift Work Location: In person

Teaching: Conduct undergraduate and postgraduate classes in physical education, sports training, and health science. Design and deliver curriculum-based theoretical and practical sessions. Use innovative and interactive teaching methodologies. Prepare lesson plans, study materials, and assessments. Supervise student projects, internships, and dissertations. Research and Publications: Conduct original research in areas such as sports science, physical fitness, kinesiology, or exercise physiology. Publish scholarly articles in peer-reviewed journals. Apply for research grants and collaborate on inter-departmental research projects. Co-Curricular Activities: Organize university-level sports meets, training camps, and fitness drives. Coordinate inter-college/intra-college tournaments and sports events. Guide students in preparing for competitive sports. Administrative Responsibilities: Assist in curriculum development and academic planning. Participate in departmental meetings and contribute to policy making. Maintain records and student evaluations as per academic guidelines. Student Support: Mentor and advise students on academic and career development. Promote health awareness and a culture of fitness among students. Qualifications and Experience: Essential: A Master’s Degree in Physical Education (M.P.Ed.) with at least 55% marks (or equivalent grade). NET / SLET / SET qualification as per UGC norms. Good academic record with a demonstrated interest in teaching and research. Desirable: Ph.D. in Physical Education / Sports Science. Participation in national/international seminars/conferences/workshops. Experience in coaching or sports training. Skills and Competencies: Strong communication and interpersonal skills. Proficiency in conducting practical sessions and sports training. Research aptitude and publication record. Leadership skills for organizing events and guiding students. Knowledge of fitness technologies and sports analytics (preferred). Job Type: Full-time Pay: ₹11,146.78 - ₹30,000.00 per month Work Location: In person

Job Description Role Description - This is a full-time on-site role for a Registrar at Sikkim Global Technical University, located in Namchi. The Registrar will be responsible for performing day-to-day administrative tasks, managing student records and registrations, coordinating academic programs, and ensuring compliance with university policies and procedures. Qualifications - Post Graduate in any Discipline. Experience - Minimum 4 years in relevant field. Responsibilities - Strong organizational and administrative skills Excellent attention to detail and accuracy Ability to work independently and as part of a team Effective communication and interpersonal skills Knowledge of university policies and procedures Experience in student record management and registration Proficiency in computer applications and data management Bachelor's degree in a relevant field Experience in a similar role in an educational institution is a plus Job Type: Full-time Pay: ₹50,000.00 - ₹125,000.00 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)

Role Overview As a Study Abroad Admissions Mentor, you will support students applying for undergraduate, postgraduate, and PhD programs abroad. You will help them with university selection, profile building, personal statements, and interview skills. This is an ideal role for fresh graduates who are enthusiastic about education and mentoring. Key Responsibilities Assist students with researching and shortlisting suitable universities and courses Guide them on application documents (SOPs, essays, resumes, etc.) Support students in identifying and developing their extracurricular profiles Provide basic advice on standardized test preparation (SAT, GRE, IELTS, etc.) Maintain consistent communication with students to track their progress Participate in training sessions to enhance your skills as a mentor Requirements Recent graduate (Bachelor’s or Master’s degree) from any recognized university Passion for education and mentoring students Strong written and spoken English skills Willingness to learn about global admissions systems (training provided) Empathetic, approachable, and positive mindset Ability to work independently with attention to detail Nice to Have (not mandatory): Familiarity with study abroad processes Experience supporting peers with applications or academic projects Leadership or volunteering experience during college Job Type: Full-time Pay: ₹10,000.00 - ₹15,000.00 per month Schedule: Day shift Supplemental Pay: Commission pay Work Location: In person

Hiring for Chandigarh University-Main Campus ( Chandigarh University, NH-05, Ludhiana, Highway, Chandigarh State, Punjab 140413) as per roles and responsibilities mentioned below: Develop professional logistics to improvise student performance. Evaluate, monitor and mentor student academic progress. Create, innovate and implement career-enhancement programs and activities. Supervise and support teaching assistants. Participate in departmental and college activities. Serve and support functional activities of departmental committees. B. Pharma + M. Pharma + PHD in Pharmacognosy degree awarded For Assistant Professor- 0-7 Years of Experience. Job Types: Full-time, Permanent Schedule: Day shift Work Location: In person

Position: Assistant Professor Institution: Newton’s Institute of Engineering Location: Macherla, Guntur District, Andhra Pradesh About Us: Newton’s Institute of Engineering, an autonomous institution celebrating 25 years of academic excellence, is committed to delivering quality technical education with a focus on innovation, research, and industry readiness. Our institution offers a wide range of undergraduate and diploma programs in engineering and technology, supported by a highly qualified faculty and modern infrastructure. Job Role: We are seeking passionate and dedicated Professor / Assistant Professors in the following departments: Computer Science & Engineering Artificial Intelligence & Machine Learning Qualifications Required: M.Tech / Ph.D. in the relevant discipline (as per AICTE norms) Strong academic record and subject knowledge Excellent communication and classroom management skills Passion for teaching, mentoring, and research Responsibilities: Delivering high-quality instruction and engaging lectures Designing course materials, assessments, and lab work Mentoring and guiding students in academics and projects Participating in research, seminars, and institutional development Supporting departmental and institutional activities Remuneration: As per norms and experience; commensurate with qualifications and capabilities. How to Apply: Interested candidates can send their updated CV with subject specialization and experience to [email protected] . Shortlisted candidates will be called for an interview. Join us and become a part of our mission to shape the engineers of tomorrow. Job Type: Full-time Work Location: In person

Key Responsibilities: Lead Inventory and Pricing Optimization Initiatives: Design and implement predictive and prescriptive models to optimize inventory placement, demand forecasting, pricing optimization, clearance models etc. Advanced Modeling & Machine Learning: Apply techniques such as time series forecasting, probabilistic modeling, optimization algorithms (e.g., MIP), and reinforcement learning to solve inventory and pricing-related problems. Cross-functional Collaboration: Partner with stakeholders across supply chain, merchandising, and technology to align machine learning/analytics initiatives with business goals and operational constraints. Innovation & Thought Leadership: Identify emerging trends and technologies in supply chain and pricing optimization; evaluate and prototype novel and pragmatic solutions to complex problems. Mentoring & Leadership: Provide technical mentorship to other data scientists and contribute to the overall impactful growth of the organization. Effective Communication: Have effective communication skills to convey complex quantitative analyses, analytic methodologies, and findings in a clear, concise, and actionable manner Operational Impact: Translate data insights into actionable recommendations that directly influence decisions around inventory planning, replenishment, and distribution. What We're Looking For : PhD or Master’s degree in a quantitative field from a reputed college (e.g., Operations Research, Statistics, Computer Science) 10+ years of industry experience in data science, with a strong focus on inventory, pricing and supply chain optimization Deep understanding of inventory theory, supply chain planning, stochastic modeling, forecasting and optimization techniques Proficient in Python, SQL, and one or more optimization libraries (e.g., Gurobi, Pyomo) Strong background in ML model development and experience in implementing large models in production. Experience with large-scale data platforms (e.g., Spark, Snowflake, Databricks) Strong business acumen with the ability to communicate complex technical ideas to non-technical stakeholders Preferred Qualifications: Experience in retail, e-commerce, or manufacturing supply chains Familiarity with WMS, and/or Network optimization tools (Optilogic, Llamasoft) Experience working in Agile or cross-functional product teams Prior experience leading technical teams or projects Fanatics Commerce is a leading designer, manufacturer, and seller of licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods. It operates a vertically-integrated platform of digital and physical capabilities for leading sports leagues, teams, colleges, and associations globally – as well as its flagship site, www.fanatics.com. Fanatics Commerce has a broad range of online, sports venue, and vertical apparel partnerships worldwide, including comprehensive partnerships with leading leagues, teams, colleges, and sports organizations across the world—including the NFL, NBA, MLB, NHL, MLS, Formula 1, and Australian Football League (AFL); the Dallas Cowboys, Golden State Warriors, Paris Saint-Germain, Manchester United, Chelsea FC, and Tokyo Giants; the University of Notre Dame, University of Alabama, and University of Texas; the International Olympic Committee (IOC), England Rugby, and the Union of European Football Associations (UEFA). At Fanatics Commerce, we infuse our BOLD Leadership Principles in everything we do: Build Championship Teams Obsessed with Fans Limitless Entrepreneurial Spirit Determined and Relentless Mindset Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.

Role Description We are seeking a skilled and experienced Psychometrician to join our team and contribute to the management of a portfolio of licensing and certification examination programs. The successful candidate will be responsible for a range of tasks, including facilitation of test development activities with content experts, conducting statistical analyses for high-stakes examinations using both Classical Test Theory (CTT) and Item Response Theory (IRT), and designing and maintaining item banks, including gap analyses. Responsibilities: Management of portfolio of licensing and certification examination programs Facilitation of test development activities with content experts Statistical analyses for high-stake examinations, including both CTT and IRT Item bank design, maintenance and gap analyses Writing and review of technical reports, proposals and contracts Participation in testing and implementation of new software Design of customized analyses, scoring and reporting files using MS Excel Qualifications: Master's or Ph.D. in Psychometrics, Educational Measurement, or a related field. Proven experience in managing licensing and certification examination programs. Strong proficiency in statistical analyses, including CTT and IRT. Experience in item bank design, maintenance, and gap analyses. Excellent technical writing and documentation skills. Familiarity with testing software and active participation in software testing and implementation. Advanced proficiency in MS Excel for customized analyses, scoring, and reporting. Its part time opportunity, you can support between 3 pm to 12 am IST any time.

Making notes on the patients’ files in the ward round. Following orders from the ward rounds which may include some of the following: Clerking (documenting history, examination, and plans on the patient’s file). Making drug charts. Requesting blood tests. Requesting imaging scans. Chasing reports. Making referrals to other departments. Making discharge summaries. Answering patients’ phone calls. Small procedures like blood sampling, IV cannulation or urinary catheter insertion when the nurses are busy or when a patient has difficult access. Documenting ev Job Types: Full-time, Permanent Pay: ₹20,879.07 - ₹40,000.00 per month Schedule: Rotational shift Supplemental Pay: Overtime pay Education: Doctorate (Preferred) Experience: doctor: 2 years (Preferred) Work Location: In person

Manage Executive Schedules : Organize and maintain calendars, schedule appointments, and coordinate meetings to optimize the executive's time. Communication Management : Prioritize and respond to emails and phone calls, acting as a liaison between the executive and internal/external stakeholders. Travel Arrangements : Plan and coordinate travel itineraries, including booking flights, accommodations, and transportation, while managing travel-related expenses. Document Preparation : Prepare reports, presentations, and correspondence, ensuring all materials are accurate and professionally formatted. Meeting Coordination : Organize and take notes during meetings, ensuring follow-up on action items and maintaining records of discussions and decisions. Administrative Support : Handle various administrative tasks, such as filing, data entry, and maintaining office supplies, to support the executive's daily operations. Job Type: Full-time Pay: ₹40,000.00 - ₹50,000.00 per month Schedule: Day shift Education: Doctorate (Preferred) Experience: executive assitsance: 4 years (Required) executive assistance: 5 years (Required) Work Location: In person

We are seeking a licensed and detail-oriented Optometrist to join our team. Key Responsibilities: Perform thorough eye exams using specialized equipment and techniques. Diagnose eye-related conditions such as nearsightedness, farsightedness, astigmatism, glaucoma, cataracts, and retinal disorders. Prescribe eyeglasses, contact lenses, and medications for eye conditions. Provide pre- and post-operative care for patients undergoing eye surgeries (e.g., LASIK, cataract). Educate patients on proper eye care, hygiene, and preventative measures. Maintain accurate patient records in compliance with privacy regulations. Collaborate with ophthalmologists and other medical professionals when advanced care is needed. Recommend and fit specialty lenses (e.g., bifocal, progressive, sports). Stay up-to-date with the latest advancements in optometry and eye care. Qualifications: Doctor of Optometry (OD) degree from an accredited school of optometry. Valid state optometry license and current board certification. Proven experience in clinical optometry (new graduates welcome in some settings). Strong knowledge of diagnostic equipment and software. Excellent communication and interpersonal skills. Detail-oriented with strong organizational abilities. Job Type: Full-time Pay: ₹15,000.00 - ₹20,000.00 per month Schedule: Day shift Work Location: In person

JOB BRIEF Key Responsibilities: Academic Leadership: Oversee curriculum design, teaching standards, and regulatory compliance. Promote innovative teaching and research initiatives. Administration: Manage department operations, staff, budgets, and infrastructure. Ensure compliance with accreditation and institutional guidelines. Faculty & Student Development: Recruit and mentor faculty. Foster student learning, career guidance, and professional growth. Industry & Research Collaboration: Build partnerships for internships, placements, and projects. Promote research culture and secure grants. Quality Assurance: Implement feedback mechanisms and enhance learning practices. Integrate technology and modern methodologies. Community Engagement: Organize outreach programs and represent the department in professional forums. Qualifications: Education: PhD or Master’s in Pharmacy (PharmD/M.Pharm). Experience: 10+ years in pharmacy academics or practice, 5+ years in leadership roles. Skills: Leadership, communication, academic planning, and industry knowledge. Job Type: Full-time Pay: ₹15,000.00 - ₹55,000.00 per month Schedule: Day shift Education: Bachelor's (Preferred) Experience: total work: 1 year (Preferred) Principal: 1 year (Preferred) Work Location: In person

WE ARE HIRING CHEMISTRY FACULTY FOR NEET & JEE (MAINS / ADVANCE). HIRING PROCESS FIRST YOU HAVE TO SUBMIT YOUR CV AFTER SHORTLISTING WE WILL TAKE AN INTERVIEW IF YOU GET SELECTED FINAL PHASE INTERVIEW AFTER THE FINAL PHASE YOUR JOB LOCATION WILL BE ALLOWED. PLEASE CONTACT SARIKA 6203215242 FOR ANY QUERIES. LIMITED SETAS AVAILABLE SOO HURRY UP! REQUIRED EDUCATIONAL QUALIFICATION: MSC, PHD, B.TECH, B.E., M.TECH, BHMS, BDS, MBBS OR EQUIVALENT. Job Types: Full-time, Permanent Pay: ₹50,000.00 per month Benefits: Cell phone reimbursement Food provided Health insurance Provident Fund Schedule: Day shift Fixed shift Morning shift Supplemental Pay: Joining bonus Performance bonus Yearly bonus Education: Master's (Required) Experience: Teaching: 3 years (Required) Making lesson Plans: 3 years (Required) total work: 3 years (Required) JEE ADVANCE: 3 years (Required) Language: English (Required) Willingness to travel: 100% (Required) Work Location: In person

Candidates must have a Ph.D. in Electronics Engineering or an allied area, from a reputed institution, and a good research record and background. The following sub-areas are currently of interest: Circuits/Electronics : VLSI Technology, Analog circuits, Mixed mode ICs, Semiconductor Devices Embedded Systems : Edge Computing, Real Time Operating Systems, Side Channel Analysis and Hardware Security Robotics : Autonomous Systems, Human-robot Interaction, Perception-based Controls and Robotics, Drones, Multi-agent Systems, Intelligent Control Systems Minimum Eligibility Criteria (all disciplines except design area candidates) (i) Ph. D. with a first class or equivalent in the preceding degree and an excellent academic record throughout; and (ii) A strong research record with publications in reputed journals and conferences. Associate Professor A minimum of six years post-Ph.D. teaching/research/professional experience of which at least three years should be at the level of Assistant Professor at higher educational institutions. A strong research record as evidenced by publications, external research grants /projects, and experience in doctoral supervision is expected. Application Submission Process Prospective candidates should send an email to [email protected] with Subject as “Faculty position in Disciplines/Areas (e.g. Computer Science, Humanities & Social Sciences)". Please attach the following to your email: (1) CV with details about your education starting 12th standard board exams (mention marks/CGPA, year of passing, specialization if any), work experience, and publications. Please provide names of three references who may be contacted for a letter of reference in support of your candidature. (2) A research statement giving research background, research outcomes, and future research plans. (3) A teaching statement giving teaching methodology, teaching experience, foundation/core courses you would like to teach, and elective courses you would like to teach. Faculty will be responsible for conducting independent research within their respective fields and teaching both undergraduate and postgraduate courses. Candidates with interdisciplinary expertise are strongly encouraged to apply. They will play an important role in contributing to the Institute’s mission through their teaching, research, and participation in various institutional activities. We encourage candidates to visit the Institute website for more information about the courses and research groups, in particular, the Faculty page, to get a sense of the faculty profile .

Department: Neonatology Designation: Fellowship in Neonatology Qualification: M.D. / D.N.B. (Paediatrics) or DCH from an MCI (Medical Council of India) recognized institute

The technology that once promised to simplify patient care has brought more issues than anyone ever anticipated. At Innovaccer, we defeat this beast by making full use of all the data Healthcare has worked so hard to collect, and replacing long-standing problems with ideal solutions. We are looking for a Data Scientist with industry experience in applying a variety of machine learning solutions to real-world large-scale data to build intelligent systems. Healthcare background is a plus. Passion for travel can help you score some brownie points. THE THINGS YOU’LL BE DOING Design scalable solutions for real-time performance on a significantly large data set. Use big data technologies to optimally use infrastructure and improve performance. Build intelligent systems to capture and model the vast amount of behavioral data to enrich the content understanding with behavioral information Work with the business leaders and customers to understand their pain-points and build large-scale solutions for them. Define technical architecture to productize Innovaccer’s machine-learning algorithms and take them to market with partnerships with different organizations Work with our data platform and applications team to help them successfully integrate the data science capability or algorithms in their product/workflows. Work with customers and BI experts to build out reports and dashboards that are most useful to customers Work with development teams to build tools for repeatable data tasks that will accelerate and automate development cycle. Define and execute on the roadmap Requirements Masters in Computer Science, Computer Engineering or other relevant fields (PhD Preferred) 2+ years of experience in Data Science (healthcare experience will be a plus) Strong written and spoken communication skills Strong hands-on experience in SQL and Python (Pandas, Scikit-learn) Experience working in classical ML techniques - XGboost, Clustering, Feature Engineering Experience in at least 1 Deep Learning frameworks like Pytorch/Tensorflow and and using LLMs in GenAI workflows. Good to have - knowledge of Sagemaker/Databricks Experience of containerizing models with Docker, Git, APIs, etc Ability to work with and influence multiple stakeholders and deliver solutions in a given time frame Benefits Here’s What We Offer Generous Leave Benefits : Enjoy generous leave benefits of up to 40 days. Parental Leave : Experience one of the industry's best parental leave policies to spend time with your new addition. Sabbatical Leave Policy : Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered. Health Insurance : We offer health benefits and insurance to you and your family for medically related expenses related to illness, disease, or injury. Innovaccer is an equal-opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. Disclaimer Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at [email protected] . Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details. About Innovaccer Innovaccer activates the flow of healthcare data, empowering providers, payers, and government organizations to deliver intelligent and connected experiences that advance health outcomes. The Healthcare Intelligence Cloud equips every stakeholder in the patient journey to turn fragmented data into proactive, coordinated actions that elevate the quality of care and drive operational performance. Leading healthcare organizations like CommonSpirit Health, Atlantic Health, and Banner Health trust Innovaccer to integrate a system of intelligence into their existing infrastructure, extending the human touch in healthcare. For more information, visit www.innovaccer.com. Check us out on YouTube , Glassdoor , LinkedIn , Instagram , and the Web .

The technology that once promised to simplify patient care has brought more issues than anyone ever anticipated. At Innovaccer, we defeat this beast by making full use of all the data Healthcare has worked so hard to collect, and replacing long-standing problems with ideal solutions. We are looking for a Data Scientist with industry experience in applying a variety of machine learning solutions to real-world large-scale data to build intelligent systems. Healthcare background is a plus. Passion for travel can help you score some brownie points. THE THINGS YOU’LL BE DOING Design scalable solutions for real-time performance on a significantly large data set. Use big data technologies to optimally use infrastructure and improve performance. Build intelligent systems to capture and model the vast amount of behavioral data to enrich the content understanding with behavioral information Work with the business leaders and customers to understand their pain-points and build large-scale solutions for them. Define technical architecture to productize Innovaccer’s machine-learning algorithms and take them to market with partnerships with different organizations Work with our data platform and applications team to help them successfully integrate the data science capability or algorithms in their product/workflows. Work with customers and BI experts to build out reports and dashboards that are most useful to customers Work with development teams to build tools for repeatable data tasks that will accelerate and automate development cycle. Define and execute on the roadmap Requirements Masters in Computer Science, Computer Engineering or other relevant fields (PhD Preferred) 2+ years of experience in Data Science (healthcare experience will be a plus) Strong written and spoken communication skills Strong hands-on experience in SQL and Python (Pandas, Scikit-learn) Experience working in classical ML techniques - XGboost, Clustering, Feature Engineering Experience in at least 1 Deep Learning frameworks like Pytorch/Tensorflow and and using LLMs in GenAI workflows. Good to have - knowledge of Sagemaker/Databricks Experience of containerizing models with Docker, Git, APIs, etc Ability to work with and influence multiple stakeholders and deliver solutions in a given time frame Benefits Here’s What We Offer Generous Leave Benefits : Enjoy generous leave benefits of up to 40 days. Parental Leave : Experience one of the industry's best parental leave policies to spend time with your new addition. Sabbatical Leave Policy : Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered. Health Insurance : We offer health benefits and insurance to you and your family for medically related expenses related to illness, disease, or injury. Innovaccer is an equal-opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. Disclaimer Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at [email protected] . Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details. About Innovaccer Innovaccer activates the flow of healthcare data, empowering providers, payers, and government organizations to deliver intelligent and connected experiences that advance health outcomes. The Healthcare Intelligence Cloud equips every stakeholder in the patient journey to turn fragmented data into proactive, coordinated actions that elevate the quality of care and drive operational performance. Leading healthcare organizations like CommonSpirit Health, Atlantic Health, and Banner Health trust Innovaccer to integrate a system of intelligence into their existing infrastructure, extending the human touch in healthcare. For more information, visit www.innovaccer.com. Check us out on YouTube , Glassdoor , LinkedIn , Instagram , and the Web .

Biitcode is urgently hiring for Assistant Professor -Pharmacy for our client in the Education / Teaching / Training (Pharmacy College) industry located in Peth Vadgaon. Position: Assistant Professor - Pharmacy Department: Pharmaceutical Chemistry Reporting To: Head of Department / Principal Location: Peth Vadgaon,Kolhapur Requisites: Education: l Essential: First-class B.Pharm and first-class M.Pharm in Pharmaceutical Chemistry (or closely related specialization). l Desirable: Ph.D. (awarded or pursuing) and/or prior teaching or industry experience; evidence of publications or funded projects. l Previous teaching or industry experience in pharmaceutical chemistry or related domains (1–3+ years). l Freshers may also apply if they meet the eligibility criteria. l Strong subject knowledge in the relevant specialization. l Effective communication and classroom management. l Familiarity with laboratory equipment and practical handling. l Proficiency in Microsoft Office, Google Classroom, LMS, etc. l Ethical, student-focused, and collaborative mindset. Responsibilities: 1. Academic Responsibilities: l Conduct lectures, practicals, tutorials, and seminars for D.Pharm/B.Pharm/M.Pharm students. l Prepare lesson plans, teaching materials, and laboratory manuals in alignment with PCI curriculum. l Develop question banks, conduct internal assessments, and evaluate students as per academic schedules . 2. Student Mentorship and Guidance: l Provide academic, career, and personal guidance to students. l Supervise project work, minor research, and dissertations (for M.Pharm students). l Maintain records of student performance and attendance. 3. Research and Publications: l Undertake research in core pharmaceutical areas and publish in peer-reviewed journals. l Apply for funded research projects and collaborate with industry or other institutions. l Participate in conferences, FDPs, workshops, and academic development programs. 4. Institutional Involvement: l Assist in organizing co-curricular activities like health camps, pharma exhibitions, seminars, etc. l Contribute to NAAC/NBA accreditation processes, PCI inspections, and internal audits. l Support documentation, student feedback collection, and quality assurance practices. 5. Administrative Duties: l Serve on academic and administrative committees. l Assist in admission, examination, and result processing. l Carry out responsibilities as assigned by HOD/Principal. Interested candidates can WhatsApp their resume on 7875111154 Thanks & regards Priyanka Sutar Job Type: Full-time Pay: From ₹300,000.00 per year Benefits: Provident Fund Schedule: Day shift Work Location: In person

Join us and contribute to the discovery of medicines that will impact lives! Hyderabad, India | Hybrid | Full-Time About Aganitha High-throughput experimentation, computational & data-driven modeling, and the advent of the Open Science era are fundamentally transforming research, discovery, and development across diverse industries. Aganitha is at the forefront of co-innovation with global clients, shaping next-generation R&D (aganitha.ai). While our primary client base has been in global Biopharma, we are actively expanding our collaborations into consumer brands and, in the near future, the materials design industry. As a Scientist at Aganitha, you will be instrumental in leveraging cutting-edge advances in computational chemistry, materials science, soft matter physics, AI/ML, and high-performance computing in the Cloud. You will contribute to accelerating design and development across a spectrum of applications, including but not limited to: small molecule therapeutics, biologics, gene, cell & RNA therapies within Biopharma; new product formulations for consumer brands; and novel materials for various industrial applications. You will collaborate closely with research leaders at our client organizations, identifying their needs and designing innovative solutions. Working with our internal technical and scientific teams, you will drive solutions from concept to launch and growth. You may also interact with external vendors to coordinate experimental validation of the in silico solutions developed at Aganitha. To excel in this role, you must possess a strong interest in engaging with customers to apply the latest scientific and technological advancements for R&D acceleration, thereby contributing to Aganitha’s growth. Key Responsibilities Perform advanced computational simulations (e.g., Periodic and non-periodic Quantum Mechanics, Atomistic and/or Coarse-grained variants of Molecular Dynamics, Monte Carlo, Brownian Dynamics, Langevin Dynamics, Dissipative Particle Dynamics, etc.) to understand stability, complex interactions and design principles relevant to various hard and soft matter systems e.g., inorganic/organic crystalline materials, surfactants, polymers, colloids, biomolecules, etc. Apply computational methods to materials design for various applications such as semiconductor devices, capture and storage of greenhouse gases, skin and body care formulations, excipients, etc. Conduct molecular modeling studies to investigate self-assembly phenomena and interactions between various components in the formulation of a material, such as surfactant or polymer interactions with diverse substrates (e.g., skin, hair, fabric). Interpret results from domain-specific simulations (e.g., MD, DFT) and structure the scientific data into features or descriptors—such as radial distribution functions, binding energies, surface areas, or density profiles—relevant for downstream AI/ML modeling of material properties or formulation performance. Understand, analyze, critique, and implement research papers, tailoring approaches to specific problem contexts. Develop clear and concise narratives of data-driven analyses performed using computational techniques. Effectively articulate and communicate complex domain knowledge to cross-functional teams. Participate actively in requirements gathering, design discussions, and demonstrations. Continuously learn and stay up-to-date on emerging technologies and scientific advancements in computational chemistry, materials science, and related fields—research opportunities for applying advanced computational methods to evolving industry challenges. Educational & Research Qualifications PhD, post-doctoral research, or equivalent higher studies in Computational Chemistry or Computational Physics applied to Materials Science, Polymer Science, Surfactant Science, Colloidal Chemistry, Soft Matter Physics, Fluid Dynamics, or a closely related field. Demonstrated first-hand research experience in problems in the domain of materials science, for example: Materials design for various applications such as semi-conductor devices, capture and storage of green-house gases, skin and body care formulations, excipients. Crystal structure prediction of inorganic/organic molecules Molecular/colloidal self-assembly and crystallization phenomena Interactions between various components in the formulation of a material, e.g., surfactant or polymer interactions with diverse substrates (e.g., skin, hair, fabric). Proficiency in at least one of the advanced computational chemistry methods viz. periodic and non-periodic Quantum Mechanics, Atomistic and/or Coarse-grained variants of Molecular Dynamics, Monte Carlo, Brownian Dynamics, Langevin Dynamics, Dissipative Particle Dynamics. Technical Skills Familiarity with computational chemistry packages such as Quantum Espresso, VASP, LAMMPS, PySCF, GROMACS, NAMD, CP2K, SIESTA, OpenMM, or similar. Must have a keen understanding of the interface of computer technology, high-throughput sciences, and chemistry/materials science. Added Advantages Familiarity with AI/ML methods and their application in scientific research. Expertise in computer programming (e.g., Python, C++, Fortran). Exposure to High-Performance Computing (HPC) environments and parallel computing. Soft Skills Excellent verbal and written communication skills are essential. Excellent communication skills, with the ability to distill complex scientific concepts into easily understandable insights for diverse audiences. Right attitude to collaborate effectively within a cross-functional team environment. Ability to quickly grasp new scientific domains and apply critical thinking to novel challenges. Comfortable working in a fast-paced, rapidly changing environment. Strong interest and aptitude to break down large, complex problem statements into manageable work packets.

Join us and contribute to the discovery of medicines that will impact lives! Hyderabad, India | Hybrid | Full-Time About Aganitha High-throughput experimentation, computational & data-driven modeling, and the advent of the Open Science era are fundamentally transforming research, discovery, and development across diverse industries. Aganitha is at the forefront of co-innovation with global clients, shaping next-generation R&D (aganitha.ai). While our primary client base has been in global Biopharma, we are actively expanding our collaborations into consumer brands and, in the near future, the materials design industry. As a Scientist at Aganitha, you will be instrumental in leveraging cutting-edge advances in computational chemistry, materials science, soft matter physics, AI/ML, and high-performance computing in the Cloud. You will contribute to accelerating design and development across a spectrum of applications, including but not limited to: small molecule therapeutics, biologics, gene, cell & RNA therapies within Biopharma; new product formulations for consumer brands; and novel materials for various industrial applications. You will collaborate closely with research leaders at our client organizations, identifying their needs and designing innovative solutions. Working with our internal technical and scientific teams, you will drive solutions from concept to launch and growth. You may also interact with external vendors to coordinate experimental validation of the in silico solutions developed at Aganitha. To excel in this role, you must possess a strong interest in engaging with customers to apply the latest scientific and technological advancements for R&D acceleration, thereby contributing to Aganitha’s growth. Key Responsibilities Perform Molecular Dynamics (MD) simulations and Quantum Mechanics (QM) calculations to deeply understand biomolecular interactions (protein-ligand, lipid-protein, lipid-nucleic acid interactions, etc.), support small molecule or PROTAC design, facilitate catalyst design for chemical reactions, investigate complex chemical reaction mechanisms, and conduct polymorph screening. Define appropriate data models and identify relevant features for developing AI/ML-based models for predicting crucial properties such as ADMET (Absorption, Distribution, Metabolism, Excretion, Toxicity) profiles, lattice energies, reaction yields, and selectivity. Understand, analyze, critique, and implement cutting-edge research, effectively tailoring the approaches to specific problem contexts. Develop clear, concise, and compelling narratives of data-driven analyses performed using QM or MD techniques, making complex findings accessible. Effectively articulate and communicate intricate domain knowledge to a cross-functional team. Actively participate in requirements gathering, design discussions, and solution demonstrations. Continuously learn and stay up-to-date on emerging technologies and scientific advancements in computational chemistry and structural biology. Research opportunities for the application of AI in the development of emerging therapeutic techniques. Qualifications PhD in Computational Chemistry, Cheminformatics, Structural Biology, Biochemistry, Biophysics, or a closely related field, coupled with a genuine passion for continuous learning. Strong interest in computational and data-driven methods with a clear understanding of how in silico approaches can significantly accelerate drug discovery and development processes. Must possess a keen understanding of the interface of computer technology, high-throughput sciences, and chemistry/biology. Demonstrated experience with computational tools and techniques commonly used in structural biology and biomolecular modeling (e.g., protein-ligand docking, protein-protein interaction studies, homology modeling). Prior experience in the Biopharma industry is a plus. Desired Technical Skills/Expertise Hands-on experience with molecular dynamics software packages (e.g., GROMACS, NAMD, AMBER, CHARMM,OpenMM, etc.). Familiarity with quantum chemistry software (e.g., PySCF, ORCA, NWChem, Quantum Espresso, etc.). Proficiency in at least one scripting/programming language, preferably Python, for data analysis, automation, and workflow development. Understanding of biomolecular docking and virtual screening methodologies. Exposure to data visualization tools for scientific data. Added Advantages Familiarity with AI/ML methods and their application in scientific research, including areas like QSAR/QSPR, generative models for molecular design, or predictive analytics in drug discovery. Expertise in computer programming (e.g., Python, C++, Fortran), including developing robust and reproducible code. Exposure to High-Performance Computing (HPC) environments, cloud computing platforms, and parallel computing techniques. Experience with database management in a scientific context. Soft Skills Excellent verbal and written communication skills are essential, with the ability to clearly articulate complex scientific and computational concepts to both technical and non-technical audiences. A proactive and collaborative attitude to work effectively within cross-functional teams, fostering an environment of shared learning and problem-solving. Demonstrated ability to quickly grasp new scientific domains and apply critical thinking to novel challenges, adapting to evolving project needs. Strong problem-solving mindset, capable of independently identifying issues and proposing effective solutions. Proven interest and aptitude to break down large, complex problem statements into manageable and actionable work packets. Comfortable working effectively in a fast-paced, rapidly changing research and development environment.