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Researcher in Robotics and AI

Department of Mechanical Engineering Sciences

Location:  Guildford
Salary:  £32,817 to £34,804 Per Annum
Fixed Term Contract
Post Type:  Full Time
Advert Placed:  Monday 21 October 2019
Closing Date:  Sunday 24 November 2019
Interview Date:  To be confirmed
Reference:  083919

We are seeking two full-time Postdoctoral Research Fellows in machine learning and control to develop a predictive decision-making algorithm for robotic and autonomous systems to allow space robots operate at E4 level on-board (or goal-oriented autonomy) and to achieve resilient performance in extreme, partially-known, and dynamically-changing environments through verifiably safe/optimal plans.  The successful applicants will join the Connected and Autonomous Vehicles Lab (CAV-Lab) at the Department of Mechanical Engineering Sciences. The post is for a full-time researcher starting on 25 November 2019 or soon thereafter and finishing on 31 March 2021. 

The post is part of the Future AI and Robotics for Space (FAIR-SPACE) Hub which is a UK national centre of research excellence in space robotics and AI. The Hub brings together leading experts from academia, industry and governments, and aims at pushing the boundary of AI robotics for future space utilization and exploration and aims to establish a firm foundation for sustainable advancement of space robotics and autonomous systems in the UK. The research will be carried out with collaborators of several industrial and academic institutions. A budget for travel and other expenses will be provided, and there will be several opportunities to participate in exhibitions, demonstrations and outreach events. The project outcomes will be evaluated on state-of-the-art robotic demonstrators.  

The successful candidate must have:

-          A doctoral degree in AI/Machine Learning, Mechatronics, Robotics or a closely related discipline

-          Knowledge in machine learning (SVM, NN, …) and in reinforcement learning techniques

-          Experience in programming (MATLAB, Python, or C++)

-          Experience in Robotic Operating System (ROS)

-          Experience in software and hardware development 

-          Capability of providing academic judgement

-          Capability of offering original and creative thoughts

-          Ability to interpret and analyse results

 

The appointee will be responsible for supporting a research team by assessing the current state-of-the-art, contributing to the planning of research projects and undertaking prescribed research tasks in accordance with specific research project(s), making use of standard research techniques and methods. These may include fieldwork, interviews, laboratory experimentation, computer-based data analysis or library research as directed by the supervisor/ line manager and will entail co-ordinating own work with that of others to avoid conflict or duplication of effort. Analysing and interpreting results of own research, under guidance of the supervisor. Write up results and contribute to the preparation of high-quality papers for submission to appropriate journals and conferences, and other outputs as required and/or appropriate.

Department of Mechanical Engineering Sciences and CAV-Lab promote a friendly, supportive and inclusive research environment. As a Bronze Athena SWAN award holder, we are committed to supporting equality, diversity and inclusion. 

For informal enquiries please contact Dr Saber Fallah at: s.fallah@surrey.ac.uk 

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Further details:

Please note, it is University Policy to offer a starting salary equivalent to Level 3.6 (£31,866) to successful applicants who have been awarded, but are yet to receive, their PhD certificate.  Once the original PhD certificate has been submitted to the local HR Department, the salary will be increased to Level 4.1 (£32,817).


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