Jagmohan Chauhan
5 months ago
Computer Science UCL (University College London) in United Kingdom
Degree Level
PhD, Postdoc
Field of study
Computer Science
Funding
PhD funding is available through various highly competitive sources, including CDTs, DTP, CSC, DeepMind, and Research Excellence Scholarships. Excellent self-funded students are also welcome. Postdoc funding may be available through Marie Curie, Royal Society, or similar fellowships. No specific stipend or tuition details provided.
Deadline
Expired
Country
United Kingdom
University
University College London
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About this position
Jagmohan Chauhan, Assistant Professor at University College London (UCL) Computer Science and lead of the IntellEcT Systems lab, is seeking prospective PhD students and postdoctoral researchers to join his team. The research focuses on developing efficient and trustworthy machine learning systems, adaptive and efficient robotics, machine learning for health, and the design and evaluation of novel mobile systems and applications. PhD funding is available through several highly competitive sources, including Centres for Doctoral Training (CDTs), Doctoral Training Partnerships (DTP), China Scholarship Council (CSC), DeepMind, and Research Excellence Scholarships. Excellent self-funded students are also encouraged to apply.
Postdoctoral candidates may seek funding through fellowships such as Marie Curie or the Royal Society. Applicants should have a strong background in computer science, machine learning, robotics, or related fields, and should submit a research proposal, CV, and transcripts.
For more information, candidates are encouraged to visit the supervisor's homepage and reach out directly. The opportunity is based at University College London, UK.
Funding details
PhD funding is available through various highly competitive sources, including CDTs, DTP, CSC, DeepMind, and Research Excellence Scholarships. Excellent self-funded students are also welcome. Postdoc funding may be available through Marie Curie, Royal Society, or similar fellowships. No specific stipend or tuition details provided.
What's required
Applicants should have a strong background in computer science, machine learning, robotics, or related fields. A relevant degree (typically a first-class or high 2:1 undergraduate or a master's for PhD applicants) is expected. Candidates should demonstrate research potential and interest in efficient and trustworthy machine learning systems, robotics, or mobile systems. For postdoc positions, a completed PhD in a relevant area is required. Excellent self-funded students are also welcome. Applicants should submit a proposal, CV, and transcripts.
How to apply
Interested candidates should reach out to Jagmohan Chauhan with a potential proposal, CV, and transcripts. Visit the supervisor's homepage for more details. Prepare to apply for competitive funding sources if needed.
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