Reference: B04-03729
Type: Contract
About us
UCL-CS is delivering a huge expansion of Robotics & Automation activity over the next few years, through the establishment of a new world-leading UCL-East research centre in Robotics & AI. This includes a new building close to the Queen Elizabeth Olympic Park, with dedicated space for robots, motion capture systems, 3D printers, and other related equipment, as well as an expansion into more than 10 new academics with expertise in multiple robotic disciplines.
The Robot Perception and Learning (RPL) lab (
https://rpl-as-ucl.github.io), led by Dr Dimitrios Kanoulas, develops planning and perception methods via learning (Deep Learning, Imitation Learning, Reinforcement Learning), for robots with arms and legs that navigate, locomote, and manipulate in challenging and uncertain natural environments. The focus of the lab is on legged robots and mobile manipulators.
About the role
This position is closely related to the UKRI Future Leaders Fellowship RoboHike project (
https://rpl-as-ucl.github.io/RoboHike), on “Autonomous Quadrupedal Robot Navigation and Hiking in Challenging Rough Terrains”. The purpose is to develop learning-based methods (DL, IL, RL) that allow legged robots navigate in challenging environments for inspection and intervention. Applications include car manufacturing inspection, volcanic eruption monitoring, and vineyard mapping.
This SRF post will take place at UCL, Department of Computer Science, and in particular, the Robot Perception and Learning (RPL) lab, as part of the RoboHike UKRI-FLF project on “Autonomous Quadrupedal Robot Navigation and Hiking in Challenging Rough Terrains” The main duties and responsibilities are: To carry out excellent research on legged locomotion and navigation (via learning, e.g., DL, IL, RL) Produce publications, or other research outputs, in line with personal obje ctives agreed with line manager.
About you
The main requirements are: Expertise in robot perception and/or learning. Experience with real robot platforms. PhD in robotics. Excellent publication record with respect to the current career level. Good interpersonal, oral, and written communication skills. Ability to work collaboratively as part of a team.
Applicants should submit the following materials with the online application as a single pdf: (1) a complete curriculum vitae, which must include: education history, details of previous employment, details of current or most recent employer (name and address of current organisation, job title and duties), list of publications or other research/practice outputs, details of membership of any professional organisations. (2) a brief (no longer than one side of A4 paper including any references) statement of research interests and career plans.
What we offer
As well as the exciting opportunities this role presents we also off some great benefits some of which are below:
- 41 Days holiday (Including 27 days annual leave 8 bank holidays and 6 closure days)
- Hybrid working
- Final Salary Pension Scheme
- Cycle to work scheme and season ticket loan
- On-site nursery
- On-site gym
- Enhanced maternity, paternity and adoption pay
- Employee assistance programme: Staff - Support Service
- Discounted medical insurance
Our commitment to Equality, Diversity and Inclusion
As London's Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the worlds talent. We are committed to equality of opportunity, to being fair and inclusive and to being a place we all belong.
We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL's workforce.
These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women.
You can read more about our commitment to Equality Diversity and Inclusion here:
https://www.ucl.ac.uk/equality-diversity-inclusion/
