Assistant Professor (Ai / Ml)

About Us

Atria University desires and enables research impact beyond publications. We operate without traditional departments (HoDs). Faculty are housed within Centres of Excellence (CoE), fostering deep, cross-disciplinary collaboration. This role will primarily be affiliated with the CoE (AI).

Why this role?

Help translate research into impact : translational research and applying foundational AI / ML techniques to complex, real-world challenges in areas such as Weather, Biology / Biotech, and Energy. This role is ideal for a candidate who prioritizes R&D and industry-sponsored projects over a heavy teaching load, as all teaching is designed to be project-based and high-impact.

What you’ll do

• Research applying traditional and advanced ML models (e.G., XGBoost, CNNs, UNets etc) to high-impact challenges in cross-domain applications (e.G., forecasting, genomic data analysis, smart grid optimization).
• Explore and apply Foundation Models (FMs) or large language models (LLMs) to specialized, domain-specific tasks, leveraging transfer learning and fine-tuning.
• Build and ship tangible research outputs, including publishing in top-tier conferences / journals, contributing to open-source codebases, trained model weights, and curated datasets.
• Proactively pursue and secure research grants (PI / Co-PI) and industry sponsorships. Explicitly integrate student research teams into grant deliverables, directly supporting the "Learning by Doing" mandate.
• Collaborate closely with faculty in other Centers of Excellence (e.G., AI for Biology, Digital Energy, Circular Economy) to design and execute integrated, cross-disciplinary research projects.
• Teach light, high-impact : 2–3 project-based, 4-credit sprints / year;

mentor student teams onreal problems.

What will set you up for success (Must-Have)

Desired Attributes (Nice-to-Have)

What We Offer