MS by Research / PhD - Energy Sciences (Electrochemistry / Energy Digitalization) | Atria University
Atria University · Bengaluru · onsite · Posted 46d ago
About a minute. You'll make an account on the way through.
About this role
Apply here: https://docs.google.com/forms/d/e/1FAIpQLSf5B-s81YbeZhij80HjLLToDmjF_vpUD6T9USMeSuv3gWat9A/viewformusp=sharing&ouid=100254583507857522189
Employment Type: Full-time (MS by Research and PhD) · Part-time available (PhD only)
Location: Bengaluru, Karnataka, India (On-site)
Description:
Work on translational and interdisciplinary industry projects while getting a stipend!
Atria University invites curious and proactive candidates interested in developing the decentralized clean energy future to join our research cohort. This is not just a degree — it's an intensive, research-driven journey for those who want to build at the bleeding edge of the energy sector.
Program Overview
The global energy landscape is transforming due to the integration of AI and the urgent demand for sustainable, carbon-neutral technologies. Located in the heart of Bangalore, you'll work with world-class researchers, AI experts, and industry partners in state-of-the-art labs to solve real-world energy challenges.
MS by Research
- Duration: 2 years, full-time, on campus
- Credits: 80 total (40 specialized courses based on focus area — 24 offline + 16 online; 40 thesis research)
- 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
Guides: AU faculty combine academic rigour with deep industrial experience, focused on translational research.
Research Themes
- Advanced Electrochemistry: batteries (new chemistries, recycling), desalination, green hydrogen, new membranes/electrodes/catalysts
- Energy Digitalization and Power Systems: AI for climate forecasting, grid optimization, energy trading, device aggregation, sustainable data centres
Eligibility
MS by Research: B.Tech / B.E. / B.S. in Electrical, Mechanical, Chemical, Energy or Materials Engineering, or B.Sc. / M.Sc. in Physics or Chemistry. Computer Science candidates can apply through the Energy Digitalization track to work on grid coordination and AI-driven materials discovery.
PhD: [pending — same quantitative bar as MS, or a Master's degree requirement Confirm and I'll lock this in as the default for future PhD postings too]
How to Apply
Submit: comprehensive resume (project/research experience), academic transcripts, a 1-page Statement of Purpose, and (optional) GATE/GRE scores. Shortlisted candidates proceed to a Technical Interview and a further interview round.
Apply here: https://docs.google.com/forms/d/e/1FAIpQLSf5B-s81YbeZhij80HjLLToDmjF_vpUD6T9USMeSuv3gWat9A/viewformusp=sharing&ouid=100254583507857522189
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