Join our fully funded postdoc position in the Signal Processing group at Chalmers! Collaborate with talented researchers publishing in top computer vision and machine learning conferences and journals. Influence the direction of an open-ended project while working on cutting-edge research in self-driving vehicles and medicine, tackling exciting challenges like multi-object tracking, 3D reconstruction, semantic segmentation, and uncertainty estimation. We value publications in prestigious venues like ICML, NeurIPS, CVPR, or similar, and seek energetic researchers with cooperation and social abilities.
Project description
Autonomous cars need to localize themselves reliably in the road network in order to be able to plan ahead and safely follow planned paths. Localization is typically performed via a pre-built map, where the car establishes correspondences between data captured by its sensors, such as cameras, lidars and radars, and the map. These correspondences are then used to estimate the position and orientation of the car with respect to the map.
One key challenge for localization approaches, which is highly relevant to autonomous vehicles, is long-term operation. As the appearance and geometry of the scene change over time, it becomes harder and harder to detect the same landmarks in our current sensor data that we describe in our map and correctly associate them to each other. Examples for such changes include illumination changes over the course of a day or seasonal changes that affect the vegetation. However, current state-of-the-art approaches for keypoint detection and description are only moderately robust to such changes.
This project aims to tackle the long-term operation problem through continuous map updates and keypoint detector and descriptor learning. The map update step will provide training data for the detector and descriptor learning stage. Improved local features will in turn lead to better maps and more accurate localization results. To facilitate this research, we have a large image dataset with ground truth poses collected over a whole year as well as the ability to collected our own georeferenced data using Chalmers’ ReVeRe-lab. Applicants are also encouraged and provided freedom to pursue their own research ideas, both within the context of the project as well as through collaborations outside of it.
Information about the department
At the department of Electrical Engineering, research and education are performed in the areas of Communication and Antenna systems, Systems and Control, Computer vision, Signal processing and Biomedical engineering, and Electric Power Engineering. Our knowledge is of use everywhere where there is advanced technology with integrated electronics. We work with challenges for a sustainable future in society of today, for example in the growing demands concerning efficient systems for communications and electrifying.
We offer a dynamic and international work environment with about 220 employees from more than 20 countries, and with extensive national and international research collaborations with academia, industry and society.
The department provides about 100 courses, of which most are included in the Master’s Programs ”Biomedical Engineering”, “Electric Power Engineering”, ”Systems, Control and Mechatronics” and ”Communication Engineering”.
Information about the research groups
The Signal Processing group conducts research in the field of physical and statistical signal and image modeling and inference. We actively pursue research in target tracking, array signal processing, estimation, detection and machine learning. Projects range from development of mathematical theory, method development and applications in the area of perception for autonomous vehicles, radar systems and biomedical devices.
The Computer Vision Group conducts research in the field of automatic image interpretation. The group targets both medical applications, such as the development of new and more effective methods and systems for analysis, support and diagnostics, as well as general computer vision applications including autonomously guided vehicles, image-based localization, stereo and structure-from-motion. The main research problems include mathematical theory, algorithms and machine learning for inverse problems such as reconstruction, segmentation and registration.
Chalmers AI Research Centre (CHAIR)
This project is funded by the Chalmers AI Research Centre (CHAIR). CHAIR aims at increasing Chalmers’ expertise and excellence in Artificial Intelligence. Its objective is to conduct world-leading research for the benefit of both industry and the public sector. CHAIR’s focus is on developing unique AI expertise in research, education, and innovation, and offering a highly attractive environment for world-leading AI researchers. The goal is to become the preferred AI partner for Swedish industry.
Major responsibilities
The major responsibility is to perform your own research in a research group and lead the efforts on the above mentioned research project. The position may also include teaching on master’s level as well as supervising master’s and/or PhD students to a certain extent. Another important aspect involves collaboration within academia and with society at large. The position is meritorious for future research duties within academia as well as industry/the public sector.
Qualifications
The candidate should have a strong background in machine learning, with a focus of (deep) machine learning for computer vision. Experience in learning novel keypoint detectors or descriptors is preferred. An additional background in 3D computer vision, especially Structure-from-Motion, SLAM, or visual localization, is desirable, but not necessary.
The candidate should have published at least one paper in one of the main international conferences in the fields of computer vision (ICCV, ECCV, CVPR), robotics (ICRA, IROS) or machine learning (NeurIPS, ICML, ICLR).
To qualify for the position of postdoc, you must have a doctoral degree in a relevant field; the degree should generally not be older than three years. You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research and education. If you obtained your PhD degree from Chalmers you must have worked as a reasearcher somewhere else for at least one year after obtaining your PhD.
The position requires sound verbal and written communication skills in English. If Swedish is not your native language, Chalmers offers Swedish courses.
Contract terms
This postdoc position is a full-time temporary employment for three years.
We offerChalmers offers a cultivating and inspiring working environment in the coastal city of Gothenburg.
Read more about working at Chalmers and our benefits for employees.
Chalmers aims to actively improve our gender balance. We work broadly with equality projects, for example the GENIE Initiative on gender equality for excellence. Equality and diversity are substantial foundations in all activities at Chalmers.
Application procedure
The application should be marked with Ref 20230448 and written in English. The application should be sent electronically and be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files.
CV: (Please name the document as: CV, Surname, Ref. number) including:
• CV, include complete list of publications
• Previous teaching and pedagogical experiences
• Two references that we can contact.
Personal letter: (Please name the document as: Personal letter, Family name, Ref. number)
1-3 pages where you:• Introduce yourself• Describe your previous research fields and main research results• Describe your future goals and future research focus
Other documents:
• Attested copies of completed education, grades and other certificates.
Use the button at the foot of the page to reach the application form.
Application deadline: 30 September, 2023
For questions, please contact:
Lennart Svensson, Signal Processing and Biomedical Engineering, Electrical Engineering
lennart.svensson@chalmers.se
Lars Hammarstrand, Signal Processing and Biomedical Engineering, Electrical Engineering lars.hammarstrand@chalmers.se
Thomas Rylander, Signal Processing and Biomedical Engineering, Electrical Engineering
rylander@chalmers.se
*** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. ***
Chalmers University of Technology conducts research and education in engineering sciences, architecture, technology-related mathematical sciences, natural and nautical sciences, working in close collaboration with industry and society. The strategy for scientific excellence focuses on our six Areas of Advance; Energy, Health Engineering, Information and Communication Technology, Materials Science, Production and Transport. The aim is to make an active contribution to a sustainable future using the basic sciences as a foundation and innovation and entrepreneurship as the central driving forces. Chalmers has around 11,000 students and 3,000 employees. New knowledge and improved technology have characterised Chalmers since its foundation in 1829, completely in accordance with the will of William Chalmers and his motto: Avancez!
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