The Intelligent Vehicles section at TU Delft, the Netherlands, invites applications for a fully-funded Post-Doctoral research position in the area of data-efficient learning methods for autonomous vehicle tasks.
Relevant tasks are detection, tracking, segmentation, prediction, and planning from camera/radar/lidar data. The intended research addresses problems within the spectrum of active learning and weaker forms of supervision. Partial and semi-automated labeling, as well as domain adaptation techniques, are also of interest.
The goal of this project is to improve the scalability of existing methods by selecting, annotating, training from, and evaluating sensor data more efficiently.
Duration: 2 years
Salary
The Postdoc Data-Efficient Methods for Autonomous Vehicle Perception offers:
- Gross monthly salary of about € 3.561 – € 4.490 per month.
- They offer a customizable compensation package, a discount on health insurance and sports memberships, and a monthly work costs contribution.
- For international applicants, they offer the Coming to Delft Service and Partner Career Advice to assist with their relocation.
- An International Children’s Centre offers childcare and there is an international primary school.
Job Requirements
- They are seeking Post-Doc applicants with an interest in performing cutting-edge research in an active and exciting research area.
- Prospective applicants should have a strong academic record with a solid background in sensor processing (vision/radar/lidar, sensor fusion) and Machine Learning (Deep Learning, data-efficient methods).
- Good programming skills (Python/Matlab) and knowledge of deep-learning frameworks.
- A certain affinity towards turning complex concepts into real-world practice (i.e. vehicle demonstrator) is desired.
- Good English skills are required.
Application Process
Interested applicants are welcome to submit their application, which should consist of:
- a curriculum vitae (CV),
- motivation letter explaining why you are the right candidate,
- a transcript of graduate-level courses (M.S., Ph.D.),
- a link to your Ph.D. Thesis,
- the names and contact addresses of two references
- a list of projects they have worked on with brief descriptions of their contributions (max 2 pages), and
- a list of your publications.
To apply for Postdoc Data-Efficient Methods for Autonomous Vehicle Perception, click here
Application Deadline: June 29, 2022.
For more information, visit the official site.
