Join the Communication Systems Group (Department of Electrical Engineering) to advance trustworthy radio localization and sensing. We seek a highly motivated postdoctoral researcher with expertise in AI, machine learning, and statistical inference to develop robust learning and inference methods for radio-based positioning and sensing, combining physical modeling, probabilistic inference, and modern machine learning for future transportation systems.
About us
At the Department of Electrical Engineering research and education are performed in the areas of Communications, Antennas and Optical Networks, Systems and Control, Signal processing and Biomedical engineering, and Electric Power Engineering. We work with sustainable and smart solutions to societal challenges, such as energy efficiency and electrification in areas ranging from transport and production systems to communication solutions and biomedical engineering.
The Division of Communications, Antennas, and Optical Networks (CAOS) conducts research and education in wireless and optical technologies for communication and sensing. Combining fundamental and applied research, we address challenges in sustainability, security, and next-generation communication systems. The division also plays a key role in engineering education, particularly within the Master's programme in Information and Communication Technology.
About the research project
Future automated transport systems will increasingly rely on digital infrastructure to support safe vehicle localization in challenging urban environments. Cellular infrastructure offers a promising complement to satellite-based positioning, but safety-critical applications require more than accurate estimates. In this project, you will develop novel methods for trustworthy infrastructure-assisted positioning using cellular observations from roadside infrastructure. You will investigate how model mismatch, distribution shifts, calibration errors, and corrupted measurements affect localization performance, and develop hybrid solutions that combine model-based estimation, machine learning, and integrity monitoring. The project, funded by Chalmers Area of Advance Transport, is conducted in collaboration with researchers in wireless sensing, intelligent transportation systems, AI security, and trustworthy machine learning at Chalmers and AI Sweden.
Who we are looking for
The following requirements are mandatory:
- A doctoral degree in Electrical Engineering, Computer Science, Applied Mathematics, Signal Processing, Machine Learning, Robotics, or a closely related field.
- Strong written and verbal communication skills in English.
- Demonstrated research experience in one or more of the following areas: Machine learning and AI; Probabilistic inference and statistical learning; Uncertainty quantification and trustworthy AI; Statistical signal processing; Localization, sensing, tracking, or robotics; Wireless communications and radio systems
- Proven ability to conduct independent research and publish in leading international venues.
- A strong publication record in internationally recognized journals and/or conferences in machine learning, AI, signal processing, communications, robotics, or related fields.
The following experience will strengthen your application:
- Experience with uncertainty quantification, trustworthy AI, robustness, adversarial machine learning, or AI safety.
- Experience with Bayesian methods, graphical models, differentiable programming, or physics-informed machine learning.
- Experience with simulation frameworks such as PyTorch, TensorFlow, JAX, CARLA, or Sionna.
- Experience in transportation systems, autonomous systems, robotics, or cyber-physical systems.
- Strong programming skills in Python and scientific computing.
What you will do
As a postdoctoral researcher, you will:
- Develop novel methods that combine machine learning, probabilistic inference, and physical modeling for localization and sensing.
- Investigate robustness to model mismatch, distribution shifts, calibration errors, and adversarial perturbations.
- Develop methods for uncertainty quantification and integrity monitoring in safety-critical systems.
- Build simulation and evaluation frameworks using state-of-the-art transportation and wireless-system tools.
- Publish research results in leading journals and conferences.
- Collaborate with researchers at Chalmers, AI Sweden, and industrial partners.
- Support supervision of MSc and PhD students.
- Contribute to future research proposals and project development.
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The successful candidate will have substantial freedom to shape the research direction within the overall project framework.
Contract terms
The position is a temporary full-time employment for two years with the possibility of a one-year extension.
The position requires physical presence throughout the entire employment. A valid residence permit must be presented by the start date, otherwise the offer may be withdrawn.
What we offer
- A joyful, supportive, and lively intellectual environment with researchers from around the world.
- As a postdoc at Chalmers, you are an employee and enjoy all employee benefits. Read more about working at Chalmers and our benefits for employees.
- A dynamic and inspiring working environment in the coastal city of Gothenburg.
- Read more about Sweden’s generous parental leave, subsidized day care, free schools, healthcare etc at Move To Gothenburg.
Chalmers is dedicated to improving gender balance and actively works with equality projects, such as the GENIE Initiative for gender equality and excellence. We celebrate diversity and consider equality and inclusion as fundamental aspects of all our activities.
If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in.
Application procedure
The application should be written in English 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
- A comprehensive CV, including a complete list of publications.
- Details of previous teaching and pedagogical experience.
Personal letter
- A brief introduction about yourself.
- A summary of your previous research fields and key research outcomes.
- An outline of your future goals and research focus.
Use the button at the foot of the page to reach the application form.
A background check may be conducted as part of the application process.
Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Contact details to references will be requested after the interview.
We welcome your application no later than July 31, 2026.
For questions, please contact:
Henk Wymeersch, Professor
[email protected]
*** 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 in Gothenburg conducts research and education in technology and natural sciences at a high international level. The university has 3100 employees and 10,000 students, and offers education in engineering, science, shipping and architecture. With scientific excellence as a basis, Chalmers promotes knowledge and technical solutions for a sustainable world. Through global commitment and entrepreneurship, we foster an innovative spirit, in close collaboration with wider society.
Chalmers was founded in 1829 and has the same motto today as it did then: Avancez – forward.
