Postdoc in Optimization (WASP)

Work assignments 

As a postdoctoral researcher, you will engage in independent and collaborative research in one or more of the topics of multimodal machine learning, artificial intelligence for materials science, and advanced optimizers for modern deep learning. The research may be conducted in collaboration with the Electronic and Photonic Materials and/or the Computer Vision Laboratory at Linköping university. You will write and submit research articles to peer-reviewed journals and /or conferences and present research findings at national and international conferences and workshops. This position offers the opportunity to work in a dynamic and interdisciplinary environment and contribute to the advancement of research in the foundation and application of modern artificial intelligence.

The position is funded by WASP (Wallenberg AI, Autonomous Systems and Software Program,) WASP | Wallenberg AI, Autonomous Systems and Software Program which is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish industry.

As postdoc, you will principally carry out research. A certain amount of teaching may be part of your duties, up to a maximum of 20% of working hours.

Qualifications

To be qualified to take employment as postdoc, you must have been awarded a doctoral degree or have a foreign degree that is deemed to be equivalent to a doctoral degree. This degree must have been awarded at the latest by the point at which LiU makes its decision to employ you.

It is considered advantageous if your doctoral degree is no older than three years at application deadline for this job. If there are special reasons for having an older doctoral degree – such as taking statutory leave – then these may be taken into consideration.

We are looking for someone with a PhD in computer science, electrical engineering, mathematics, statistics, data science, operations research, or other related fields. You have strong coding skills in Python and PyTorch, along with a solid understanding of modern neural network architectures and techniques.

You are experienced in conducting independent research and highly motivated to develop methodologies for modern artificial intelligence and their mathematical foundations. Additionally, your problem-solving skills and ability to collaborate effectively with others are highly valued. You must also demonstrate proficiency in communicating and conducting research in English.

The workplace

You can read about the workplace at Division of Applied Mathematics and WASP at Department of Mathematics.

The employment

This employment is a temporary contract of two years.

The employment is full-time.

Starting by agreement.

Salary and employment benefits

The university applies individual salaries.

More information about employee benefits is available here.

Union representatives

Information about union representatives, see Help for applicants.

Application procedure

Apply for the position by clicking the “Apply” button. Your application must be received no later than 16 June 2025.
 
Applications and documents received after the date above will not be considered. 
 
Please attach your selected research publications electronically, in pdf or word format, in the application template. Research publications, e.g. monographs, which cannot be sent electronically should be sent in three sets by mail to the University Registrar at Linköping University, University Registrar, S-581 83 Linköping, Sweden. The publications must be received by Linköping University no later than the deadline for application. 

Please note that printed publications will not be returned. They will be archived at Linköping University. 
 
In the event of a discrepancy between the English translation of the job announcement and the Swedish original, the Swedish version shall take precedent.