Lund University, LTH, Electrical and Information Technology

Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 46 000 students and 8 500 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.

Description of the workplace

The Department of Electrical and Information Technology conducts high-quality research in a variety of areas in Electrical Engineering and Computer Science, ranging from pure theoretical research to applied projects in close collaboration with industry. It is at the forefront of international research in most of its areas. 
The Department consists of about 100 active researchers, focusing on several research domains, including Secure and Networked Systems, Communications Engineering, Integrated Electronic Systems as well as Electromagnetics and Nanoelectronics.

Subject description

Machine Learning and Artificial Intelligence have attracted a lot of attention over the past few decades. Machine Learning algorithms have been considered in many application domains, including Internet of Things (IoT), autonomous systems and medical and healthcare applications. The adoption of Machine Learning in these domains creates many new opportunities, but also involves several major challenges, e.g., complexity of machine learning algorithms and reliability and trust in the decisions made by machine learning algorithms. 

The aim of this postdoctoral project is to tackle one of the main challenges in the machine learning domain. The project will be adapted to your background and expertise, and you will work in a cross-disciplinary research environment. An important part of your work will be to develop the theoretical foundation of trustworthy machine learning and new algorithms to address the challenges within this environment. Therefore, you are expected to have a very good theoretical background in Machine Learning.

Work duties

The main duties involved in a postdoctoral position is to conduct research. Teaching may also be included, but up to no more than 20% of working hours. The position includes the opportunity for three weeks of training in higher education teaching and learning. The purpose of the position is to develop the independence as a researcher and to create the opportunity of further development. 

Detailed description of the work duties:

  • Research within the subject area.
  • Teaching in the first, second and third cycles of studies.
  • Supervision of degree projects and doctoral students.
  • Actively seeking external research funding.
  • Collaboration with industry and wider society.
  • Administration related to the work duties listed above.

Qualification requirements 

Appointment to a postdoctoral position requires that the applicant has a PhD, or an international degree deemed equivalent to a PhD, within the subject of the position. The certificate proving the qualification requirement is met, must be received before the employment decision is made. Priority will be given to candidates who have graduated no more than three years ago before the last day for application. Under special circumstances, the doctoral degree can have been completed earlier.

Additional requirements:

  • Very good oral and written proficiency in English. 
  • Extensive, well-documented, knowledge of Machine Learning.

Assessment criteria 

This is a career development position primarily focused on research. The position is intended as an initial step in a career, and the assessment of the applicants will primarily be based on their research qualifications and potential as researchers. Particular emphasis will be placed on research skills within the subject.

For appointments to a postdoctoral position, the following shall form the assessment criteria:

  • A good ability to develop and conduct high quality research.
  • Teaching skills. 

Consideration will also be given to how the applicant’s experience and skills complement and strengthen ongoing research within the department, and how they stand to contribute to its future development.

We offer

Lund University is a public authority which means that employees get particular benefits, generous annual leave and an advantageous occupational pension scheme.
Read more on the University website about being a Lund University employee Work at Lund University.

Further information

This is a full-time, fixed-term employment of 2 years starting as soon as possible by agreement, however no later than January 1, 2027. 
The period of employment is determined in accordance with the agreement “Avtal om tidsbegränsad anställning som postdoktor” (“Agreement on fixed-term employment as a postdoctoral fellow”).

How to apply

Applications are to be submitted via the University’s recruitment system. The application should include a CV and a personal letter justifying your interest in the position and how it matches your qualifications. The application should also include a degree certificate or equivalent and any other document to which you would like to draw attention (copies of grade transcripts, details of referees, letters of recommendation, etc.).

We welcome your application!

About the Faculty of Engineering

Type of employment Temporary position
Contract type Full time
First day of employment As soon as possible by agreement, however no later than January 1, 2027
Salary Månadslön
Number of positions 1
Full-time equivalent 100
City Lund
County Skåne län
Country Sweden
Reference number PA2026/1707
Contact
  • Amir Aminifar, Senior lecturer, 046-2220000, amir.aminifar@eit.lth.se
Union representative
  • SEKO Seko Civil, 046-2229366, sekocivil@seko.lu.se
  • OFR/ST Fackförbundet ST:s kansli, 046-2229362, st@st.lu.se
  • SACO Saco-s-rådet vid Lunds universitet, 046-2220000, kansli@saco-s.lu.se
Published 08.Jun.2026
Last application date 21.Jul.2026
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