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PhD Studentship Opportunity in Reinforcement Learning Control for Autonomous Systems

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  • Full or part time
    Dr S Fallah
  • Application Deadline
    Applications accepted all year round
  • Funded PhD Project (European/UK Students Only)
    Funded PhD Project (European/UK Students Only)

Project Description

PhD Studentship Opportunity in Reinforcement Learning Control for Autonomous Systems

The Surrey’s Centre for Automotive Engineering in the Department of Mechanical Engineering Sciences, is offering a PhD studentship which will cover home fees and normal EPSRC stipend (currently £14553/year). All students may apply for this research project, but the full funding is guaranteed for UK and EU students. The start date of the project is October 2018.

The PhD research activity is related to development of reinforcement learning control for autonomous systems. The successful candidate will contribute to research strands as part of the recently funded national FAIR-SPACE Hub, which has the vision to establish an international centre of excellence in space robotics and autonomous systems. The Hub is led by University of Surrey supported by 5 university partners (Imperial, Edinburgh, Liverpool, Warwick and Salford) and 28 national/international project partners representing major space companies, agencies, research institutions as well as cross-sectorial RAI organizations. The Hub offers the world-class credentials and a unique combination of expertise and capabilities to address key challenges of RAI in the space sector. It will also influence, engage with the wider community of academia, industry, government and the public, and help cultivate and develop future leaders in RAI.

Entry Requirements
The success of the research programme requires multidisciplinary collaborations, therefore, good communication, presentation, project management skills are essential.

Applicants have to satisfy the standard university eligibility criteria and should have a good Master’s degree (equivalent of first-class distinction). We are looking for candidates with background in mechatronics, robotics, AI/machine learning or a closely related discipline. Experience with Python, C++, and dSPACE would also be a plus.

Apply now
Applicants are required to send a cover letter explaining your interest in and qualifications for the project, a CV, and the names and contact details of two references.

Enquires are welcome and should be made to Dr Saber Fallah [email protected]

Formal applications can be made through our Automotive Engineering programme page

Shortlisted applicants will be contacted directly to arrange a suitable time for an interview. The position will remain open until a suitable candidate is found.

Funding Notes

The studentship is funded by the EPSRC. The funding will cover home fees and normal EPSRC stipend (currently £14,553/year) for three years.

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