University of Cambridge, 8 Week Summer Research Studentship (Fully Funded)

Applications are now open for a fully funded 8-week summer research studentship at the University of Cambridge, focused on neuromorphic computing and sensing using MEMS/NEMS devices. This program, part of the NeuMat Network funded by the UK’s EPSRC, targets undergraduate students in engineering, physics, computer science, or related fields, offering hands-on experience in experimental research, AI/ML, and microelectronics.

The deadline is Friday, March 6, 2026, and it is open to undergraduates with no prior experience required. There is no application fee, providing an accessible opportunity for eligible students to gain valuable skills and exposure in a world-class academic setting. You can check out BS, MS, PhD and postdoc positions here.

Key Details

• Program Type: Summer research studentship
• Host Institution: University of Cambridge
• Open to Nationalities: Primarily UK students
• Fields of Study: Engineering, physics, computer science, or related quantitative disciplines, with interests in electrical/electronics, material science, signal processing, algorithms, or artificial intelligence.
• Funding Type: Fully funded
• Application Deadline: Friday, March 6, 2026.

What This Studentship Offers:

• A competitive stipend to cover living expenses during the 8-week period, ensuring financial independence.
• Full coverage of accommodation, travel, and subsistence, removing barriers to participation and allowing focus on research.
• Hands-on experience with advanced MEMS/NEMS devices, building practical skills in experimental work, electronics, modeling, and signal processing.
• Exposure to AI/ML applications in neuromorphic computing, enhancing your technical expertise and resume for future opportunities.

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• Must be an undergraduate student in engineering, physics, computer science, or related quantitative disciplines.
• Currently studying at any UK college or university.
• Demonstrate interest in areas such as electrical/electronics, physics, material science, signal processing, algorithms, or artificial intelligence.
• No prior experience required, as extensive training will be provided.
• Available for on-site participation in Cambridge between June and September 2026.

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How to Apply:

1. Review the project details and application information via the provided links below
2. Prepare your documents
3. Submit your application directly via the apply link.
4. Ensure submission by the deadline of March 6, 2026.

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