Lunds universitet, LTH, Electrical & Information Technology

Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 47 000 students and more than 8 800 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.

Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset.

Wallenberg AI, Autonomous Systems and Software Program (WASP) 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. Read more: https://wasp-sweden.org/

Project description

The aim of this postdoc project is to tackle one of the main challenges in the machine learning domain. The project will be adapted to the background and expertise of the Postdoc, who will work in a cross-disciplinary research environment. An important part of the Postdoc’s work will be to develop the theoretical foundation of machine learning and new algorithms to address the challenges within the subject area of this position. Therefore, the Postdoc is expected to have a very good theoretical background in machine learning.

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 of Electrical and Information Technology consists of about 100 active researchers, focusing on several research domains, including Secure and Networked Systems, Communications Engineering, Integrated Electronic Systems, Electromagnetics and Nanoelectronics, as well as Intelligent Systems and Machine Learning.

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, 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, security and privacy concerns related to personal data and machine learning, as well as reliability and trust in the decisions made by machine learning algorithms. 

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, such as:

  • 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.
  • Very good proficiency in 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 no later than January 1, 2025. The period of employment is determined in accordance with the agreement “Avtal om tidsbegränsad anställning som postdoktor” (“Agreement on fixed-term employment as a post-doctoral fellow”).

How to apply

Applications shall be written in English. 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.)”

Welcome to apply!

Type of employment Temporary position
Contract type Full time
First day of employment 2025-01-01
Salary Monthly
Number of positions 1
Full-time equivalent 100%
City Lund
County Skåne län
Country Sweden
Reference number PA2024/116
Contact
  • Amir Aminifar, amir.aminifar@eit.lth.se
Union representative
  • OFR/ST:Fackförbundet ST:s kansli, 046-2229362
  • SACO:Saco-s-rådet vid Lunds universitet, kansli@saco-s.lu.se
  • SEKO: Seko Civil, 046-2229366
Published 12.Jan.2024
Last application date 05.Apr.2024 11:59 PM CEST

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