One fully funded PhD position to work with Dr. Chris Xiaoxuan Lu in the School of Informatics at the University of Edinburgh, on a project titled “Robust Ego-Motion Estimation with Deep Dynamic Sensor Fusion”.
The aim of this project is in order to robustly estimate the motion states of mobile robots (e.g., self-driving cars and drones), this project will explore a dynamic multi-sensor fusion method by a hybrid design that draws elements from both model-based and data-driven methods. Beyond accuracy, this project aims at a systematic model design robust against one or multiple robustness challenges, including;
- complicated environment dynamics in the wild
- widespread sensor malfunction and failures and
- intentional malicious attacks.
Candidate’s profile
- Research or Industrial experience in SLAM and Deep Learning
- Solid programming skills in one of the following programming languages: Python/C/C++. Knowledge on ROS or CARLA is a plus but not essential. A good Bachelors degree (2.1 or above or international equivalent) and/or Masters degree in a relevant subject (physics, mathematics, engineering, computer science, or related subject)
- Proficiency in English (both oral and written)
- Knowledge of SLAM and multimodal sensor fusion in the context of spatial perception is highly desirable.
Application Information
Applicants should apply via the University’s admissions portal (EUCLID) and apply for the following programme: Informatics: IPAB: Robotics, Computer Vision, Computer Graphics and Animation with a start date of 1st February 2022 (or as soon as possible thereafter).
Applicants should state “Robust Ego-Motion Estimation with Deep Dynamic Sensor Fusion” and the research supervisor (Dr Chris Xiaoxuan Lu) in their application and Research Proposal document.
Complete applications submitted by 25th July 2021 will receive full consideration; after that date applications will be considered until the position is filled.
The anticipated start date is 1st February 2022 but later start dates can be considered.
Applicants must submit:
- All degree transcripts and certificates (and certified translations if applicable)
- Evidence of English Language capability (where applicable).
- A short research proposal (max 2 pages)
- A full CV and cover letter describing your background, suitability for the PhD, and research interests (max 2 pages).
- Two references (note that it the applicant’s responsibility to ensure reference letters are received before the deadline).
Only complete applications (i.e. those that are not missing the above documentation) will progress forward to Academic Selectors for further consideration.
Environment
The School of Informatics is one of the largest in Europe and currently the top Informatics institute in the UK for research power, with 40% of its research outputs considered world-leading (top grade), and almost 50% considered top grade for societal impact. The University of Edinburgh is constantly ranked among the world’s top universities and is a highly international environment with several centres of excellence.
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