Website:
atriauniversity.edu.in
Job details:
Apply here: https://docs.google.com/forms/d/e/1FAIpQLSf_A223iR6xVWKTEYJn1KlhBnZweIILzpfHmYFjX4u3dRCL9g/viewform
Employment Type: Full-time (MS by Research and PhD) · Part-time available (PhD only)
Location: Bengaluru, Karnataka, India (On-site)
Description:
Elevate your expertise from fundamental data science to the frontiers of Modern AI.
Atria University invites visionary engineers and researchers to join our inaugural cohort in Digital Transformation (AI concentration). This is not just a degree — it's an intensive, research-driven journey for those who aim to lead the next wave of "AI+X" innovations.
MS by Research
- Duration: 2 years, full-time, on campus
- Credits: 80 total (40 coursework + 40 thesis research)
- Cohort: Limited to 18 seats
- Stipend: ₹18,000/month if assigned to sprint delivery or engaged as Project/Teaching Assistant
- Fees: Year 1 ₹75,000* | Year 2 ₹1,25,000**
PhD Programme
- Duration: 3 years full-time / 4 years part-time
- Stipend: ₹38,000/month for full-time scholars, subject to University terms
- Fees: ₹50,000 per year
Curriculum
Advanced Machine Learning · Optimization & Gradient Descent · Deep Learning & CNN · NLP & Seq2Seq (RNN/LSTM) · Transformers & LLMs · Retrieval Augmented Generation (RAG) · Agentic AI · Generative AI & Diffusion Models · ML Ops · Embedded AI · Reinforcement Learning · Satellite Image Analysis
Research Themes (AI + X)
- AI & Blockchain — building intelligent, decentralised systems
- AI & Energy — optimizing the transition to sustainable power
- Foundation Models & Transfer Learning
- AI & Autonomous Mobility
- AI for Weather Forecasting
Why Join
- Elite mentorship with small, focused cohorts
- Research-first: MS scholars spend 50% of their time on thesis research; PhD scholars build toward independent, publishable work
- AI-Blockchain specialization, with exposure to decentralised systems and foundation models
- Bangalore advantage: access to global R&D centres and deep-tech startups
Eligibility
MS by Research: B.Tech / B.S. in Computer Science, Electrical Engineering, or related quantitative fields, with a strong foundation in Data Science and Machine Learning.
PhD: [pending — eligibility bar]
How to Apply
Submit: resume, academic transcripts, statement of purpose, and (optional) GATE/GRE scores. Shortlisted candidates proceed to a technical interview.
Apply here: https://docs.google.com/forms/d/e/1FAIpQLSf_A223iR6xVWKTEYJn1KlhBnZweIILzpfHmYFjX4u3dRCL9g/viewform
Click on Apply to know more.
