A fully funded 3-year PhD position is available to work with Dr Pascal Meissner in the School of Engineering at the University of Aberdeen on one of today’s most relevant research problems at the intersection of autonomous robotics, machine learning, computer vision, and artificial intelligence.
Learn as you help robots see, learn and manipulate! As robots spread into different areas of human activity, they are breaking through the boundaries of the well-structured industrial environments in which they were first used. This is particularly thanks to the breakthroughs in deep learning, which have given robots an unprecedented level of flexibility and robustness in manipulating objects. However, these advances remain limited to simple actions such as grasping or placing objects under known conditions. Still, we need robots that can perform complex tasks and cope with unforeseen circumstances. Giving robots such capabilities is the goal of this PhD and of utmost importance for the success of future robotic systems.
We will give you the opportunity to work independently and the freedom to steer the direction of the research according to your interests and strengths within the overall project goal.
Early applications are encouraged as this position will be filled as soon as an appropriate candidate is found. Applicants are encouraged to contact Dr Pascal Meissner ([Email Address Removed]) to discuss their interest.
Selection will be made on the basis of academic merit. The successful candidate should have, or expect to obtain, a UK Honours degree at 2.1 or above (or equivalent) in and/or Master’s degree (with Distinction or Merit) in either Computer Science, Electrical Engineering, Mechanical Engineering, Physics, Mathematics, or a related discipline.
Essential background:
• Confidence and independence in programming complex systems (hands-on experience in software development)
• Solid skills in maths (skills in statistics are helpful)
• Strong communication skills in English (both oral and written)
• Interest in autonomous robotics, machine learning, computer vision, or artificial intelligence
APPLICATION PROCEDURE:
Formal applications can be completed online: https://www.abdn.ac.uk/pgap/login.php
- Apply for the Degree of Doctor of Philosophy in Engineering
- State the name of the lead supervisor as the Name of Proposed Supervisor
- State the exact project title on the application form
- All Degree Certificates/Academic Transcripts (officially translated into English and original)
- 2 Academic References on official headed paper and signed or sent from referees official email address, quoting your applicant reference number
- A full CV describing your background (max 2 pages). Please indicate your relevant skills, scientific publications, awards, research videos and/or code, professional profile(s)
- A Motivation Letter / Research Statement describing your suitability for the PhD and research interests (max 2 pages)
- Copies/links to publications (if any)
- Any documents providing evidence of academic achievements, relevant practical experience, and qualifications earned at or outside of the university
- Intended source of funding to cover the difference between UK and international tuition fees (if applicable)
For any information or informal discussion please contact Dr P Meissner on [Email Address Removed]
Closing date for applications: midnight on 18 July 2021, but we reserve the right to close the advert earlier should a suitable candidate be found therefore we suggest that complete applications are submitted asap to give applicants the best chance.
This is a full-time position for a period of three years and the starting date should be discussed with the lead supervisor.
You will be supervised by Dr Pascal Meissner and Dr Andrew Starkey and will be a part of a cross-disciplinary team. As a member of our team, you will have unlimited access to our state-of-the-art robotics lab, as well as outstanding experts in autonomous robotics, machine learning, computer vision, artificial intelligence, human-robot-interaction, soft robotics, swarm robotics, industrial robotics, mechatronics, control engineering, and many more. Teamwork, diversity, and transparency belong to our core beliefs. They will help you drive novel approaches from early ideas to advanced targeted and meaningful insights.
You will also have the opportunity to contribute to live industrial projects from time to time. In addition, senior PhD students are encouraged to take up paid teaching assistantships to develop their teaching skills, should they envision their futures in academia.
Aberdeen is ranked 8th in the UK for Electrical & Electronic Engineering (Complete University Guide 2021) which includes our team. The University is ranked in the top 20 in the UK (Guardian University Guide 2021) and in the top 180 in the world (Times Higher Education World University Rankings 2021).
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