New opportunity

Faculty Position – Computer Science & Engineering and Centre for AI & Supercomputing.

Mahindra University · Hyderabad, India

About this role

The Department of Computer Science and Engineering at Mahindra University, in association with the Center for AI and Supercomputing, invites applications for full-time faculty positions at the Assistant Professor, Associate Professor, and Professor ranks. The university is expanding its research depth across nine key groups, including intelligent systems, transportation and smart mobility, NLP, generative AI, software engineering, cryptography, responsible AI, databases, theoretical computer science, and high-performance/quantum computing. Faculty will be expected to maintain an independent research agenda, secure sponsored funding, supervise doctoral students, and teach both core and advanced courses. Responsibilities: Conduct high-quality research and publish in leading venues; develop and teach undergraduate and postgraduate courses; mentor students; contribute to departmental governance; and collaborate with industry and research partners. Qualifications: A Ph.D. in Computer Science or a closely related discipline with an outstanding academic record is required. Postdoctoral or industry research experience is desirable and expected for senior ranks. Candidates must demonstrate a strong research record and the potential to attract funding. For senior roles, leadership in building research groups and mentoring is essential. Benefits: The university offers a nationally competitive compensation package (at par with or better than IIT scales), health insurance, gratuity, EPF, and 5L INR CPDA support over a 3-year period. Faculty have access to advanced computing infrastructure, including recently installed B200 GPUs for HPC and AI workloads. Application Process: Interested candidates should submit a single PDF containing a cover letter (specifying rank and research group), CV, research and teaching statements, representative publications, and three references to deepthi.ma@mahindrauniversity.edu.in. Applications are reviewed on a rolling basis, with full consideration for those received by November 20, 2026.

For full details about this role, click “Apply on company site” to view the employer’s original posting.

Skills for this role

Reinforcement LearningLarge Language ModelsGenerative AIFoundation ModelsAgentic SystemsComputer ScienceHigh-Performance ComputingQuantum ComputingCryptographyData ScienceMachine LearningSoftware EngineeringFormal MethodsHuman-Computer InteractionResponsible AI

Checking your profile…

Preparation suggestions, not the employer’s actual interview questions. Always check the original posting for current requirements.

Understand the role

What matters most

Independent Research and Funding
Faculty are expected to maintain an active, independent research agenda and demonstrate the ability to secure sponsored funding. For senior ranks, this includes a proven track record of building research groups and attracting external grants.
High-Quality Academic Output
Candidates must produce high-quality research published in leading conferences and journals. The role requires active contribution to the university's nine research groups and the Center for AI and Supercomputing.
Teaching and Mentorship
The role involves developing and teaching both core and advanced courses at undergraduate and postgraduate levels, alongside the active supervision and mentorship of doctoral students.
Collaborative Governance and Industry Engagement
Faculty are expected to contribute to departmental governance and foster collaborations with industry partners and research institutions, leveraging the university's location in a major technology hub.

Likely challenges to think through

Balancing Research and Teaching Loads
The requirement to maintain a high-impact research agenda while simultaneously developing new courses and teaching core curriculum creates a significant time-management challenge. Prepare by articulating a clear strategy for integrating research into your teaching and laboratory development.
Securing Sponsored Funding
Demonstrating the potential to attract external funding is a core requirement. Prepare by having a concrete plan for grant applications and identifying specific funding bodies or industry partners relevant to your research group.
Interdisciplinary Collaboration
The university encourages work that bridges multiple research groups. Prepare by demonstrating how your expertise can be applied across different domains, such as combining AI with social sciences or hardware security.

Practice your answers

Technical practice

Optimizing Large Language Models for Resource-Constrained Environments

What to coverDiscuss your experience with model optimization techniques such as distillation, quantization, and pruning. Explain how you would balance performance trade-offs when deploying these models in low-resource settings.

Safe Reinforcement Learning in Autonomous Systems

What to coverExplain the challenges of ensuring safety in multi-agent reinforcement learning for mobility systems. Suggest methods for incorporating safety constraints into the learning process to prevent catastrophic failures in real-world deployments.

Formal Verification of AI-Assisted Software

What to coverHow can formal methods be applied to verify the reliability of code generated by LLMs? Discuss the integration of theorem proving or model checking into an AI-assisted development pipeline.

Privacy-Preserving Machine Learning

What to coverCompare the use of zero-knowledge proofs versus secure multi-party computation in the context of protecting sensitive training data. Address the performance overhead associated with these privacy-enhancing technologies.

HPC Infrastructure for AI Workloads

What to coverGiven access to B200 GPU clusters, how would you architect a distributed training workflow to maximize throughput? Discuss strategies for handling communication bottlenecks in large-scale model training.

Algorithmic Fairness and Bias Auditing

What to coverDescribe a framework for auditing AI systems for fairness and transparency. How do you quantify bias in datasets and model outputs, and what mitigation strategies are most effective?

Data Systems for Modern AI Workloads

What to coverExplain the architectural requirements for a database system supporting vector search and high-throughput ML training. Contrast traditional relational databases with modern vector-native solutions.

Quantum Computing and Hybrid Workflows

What to coverDiscuss the current limitations of quantum algorithms and how hybrid quantum-classical workflows can be utilized to solve specific computational problems. Suggest an application area where this approach provides a distinct advantage.

Behavioural practice

Developing an Independent Research Agenda

What to coverDescribe a situation where you defined and executed a long-term research project. Detail how you secured the necessary resources or funding and how you maintained progress toward your objectives.

Mentoring and Leadership in Research

What to coverProvide an example of how you have mentored doctoral students or junior researchers. Explain your approach to fostering their independent thinking while ensuring the quality of the research output.

Collaborating with Industry Partners

What to coverShare an experience where you collaborated with industry or public agencies to apply your research to a real-world problem. How did you manage the differing priorities between academic research and industrial application?

Contributing to Departmental Governance

What to coverDescribe a time you contributed to the academic life or governance of your department. What was the challenge, what specific actions did you take, and what was the impact on the department?

Sharpen your knowledge

Topics to prepare

Research Agenda Alignment
Prepare a 2-3 page research statement that explicitly maps your past work to one or more of the nine specified research groups (e.g., NLP, Responsible AI, or HPC). Ensure you articulate how your independent research agenda will utilize the university's B200 GPU infrastructure and contribute to the Center for AI and Supercomputing.
Teaching and Mentorship Philosophy
Draft a 1-2 page teaching statement that addresses your ability to teach core CS courses alongside advanced electives in your specialization. For senior ranks, include concrete examples of your experience in mentoring doctoral students and building research groups, as this is a core expectation for Associate and Full Professor roles.

Skills to revise

Grant Writing and Funding Acquisition
Review your track record of securing sponsored research funding. Prepare to discuss your strategy for attracting external grants, which is a mandatory requirement for all faculty ranks and essential for senior-level appointments.
High-Performance Computing (HPC) Optimization
Given the university's investment in B200 GPUs, practice articulating how your research leverages large-scale computing. If your work involves AI or data-intensive tasks, be prepared to explain how you optimize algorithms for parallel and distributed environments.
Industry and Interdisciplinary Collaboration
Prepare to demonstrate your capacity to build partnerships with industry and public agencies. Highlight any past interdisciplinary projects that bridge computer science with fields like law, social sciences, or specific industrial applications, as the university values research with societal and industrial impact.

Your preparation checklist

Align Research Statement with Targeted Group
Draft a 2-3 page research statement that explicitly maps your past work and future agenda to one of the nine specified research groups, such as NLP, Responsible AI, or High-Performance Computing. Highlight how your research utilizes or complements the university's B200 GPU infrastructure.
Prepare a Teaching Portfolio
Create a 1-2 page teaching statement that outlines your philosophy and experience. Include a list of core computer science courses you are prepared to teach and propose a new advanced elective or laboratory course relevant to your research specialization.
Curate Representative Publications
Select up to three high-quality publications that best demonstrate your research impact and technical depth. Ensure these are ready to be included in your single-PDF application package as evidence of your scholarly record.
Develop a Funding and Mentorship Plan
For senior rank applications, prepare a summary of your history in securing sponsored research funding and your experience in mentoring doctoral students. For junior applicants, articulate a clear strategy for how you intend to attract external grants and build a research group.
Formulate Strategic Interview Questions
Prepare questions for the search committee regarding the integration between the Department of Computer Science and Engineering and the Center for AI and Supercomputing, the nature of current industry collaborations, and the specific expectations for departmental governance.

Availability last checked: 18 Oct 2026. Status can change after a check; confirm on the employer’s website. Report an issue · Our checking policy

KEEP EXPLORING

Similar AI jobs

Related skills and specializations in India. Matched to this role, not your profile.

Explore more jobs

Finding similar opportunities…