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engineering, computational neuroscience, artificial neural networks and bio-inspired robotics: "Rhythmic-reactive regulation for robotic locomotion" (Supervisor: Prof Fulvio Forni) will apply techniques from
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, artificial neural networks and bio-inspired robotics: "Rhythmic-reactive regulation for robotic locomotion" (Supervisor: Prof Fulvio Forni) will apply techniques from nonlinear control and optimisation
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project was selected for funding by the European Research Council (ERC) and is led by Prof. Anna Korhonen. The goal of the project is to investigate the challenges in the development of globally inclusive
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set of practical short courses delivered in the first year. Applicants should have (or expect to be awarded) an upper 2nd or 1st class honours degree at the level of MSci, MEng (or overseas equivalents
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to consider these as part of your application. Please submit your application by midnight on the closing date. If you have any questions about this vacancy of a technical nature, please contact Prof. E
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. Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online. Applicants should contact Prof Amanda Prorok for further information. http
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letter (Max 3 sides, including proposed research project) to be submitted to Dimple Patel, dp692@medschl.cam.ac.uk by July 29th 2025. Informal enquiries should be directed to Prof Menna Clatworthy
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equitable. This UKRI Frontier project was selected for funding by the European Research Council (ERC) and is led by Prof. Anna Korhonen. The goal of the project is to investigate the challenges in
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to join other projects within and outside of the lab and department and participate in research communication and outreach, as well as other supporting roles. Notably, the candidate will be trained in small
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plan to test any device in the stratosphere. Teaching/learning support, networking and planning the use of resources also takes up a small portion of this position. The skills, qualifications and