Postdoctoral fellow in Machine Learning – Lund University, Sweden

    Postdoctoral fellow in Machine Learning - Lund University, Sweden

    Postdoctoral fellow to tackle one of the main challenges in the machine learning domain, in Faculty of Engineering, Lund University, Sweden

    Deadline to Apply

    May 31, 2021 (23: 59 GMT +1)


    PositionPostdoctoral fellow
    No. of Position(s)1
    Research AreaMachine Learning
    SalaryAccording to standard norms
    WorkplaceFaculty of Engineering, Lund University, Sweden
    Contract Period2 Years
    Starting dateAs soon as possible


    Appointment to a post-doctoral position requires that the applicant has a PhD, or an international degree deemed equivalent to a PhD, within the subject of the position, completed no more than three years before the last date for applications. Under special circumstances, the doctoral degree can have been completed earlier.


    • Very good oral and written proficiency in English.
    • Very good proficiency in machine learning.

    Responsibilities/ Job 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.

    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.

    The main duties involved in a post-doctoral 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.

    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

    Assessment criteria and other qualifications

    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 post-doctoral position, the following shall form the assessment criteria:

    • A good ability to develop and conduct high quality research in the research projects relevant for the position.
    • Teaching skills.

    Consideration will also be given to good collaborative skills, drive and independence, and 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.

    How to Apply?

    • Applications shall be written in English. Please draw up the application in accordance with LTH’s Academic qualifications portfolio – see link “Login and apply” above.
    • Upload the application as PDF-files in the recruitment system.
    • Read more: To apply for academic positions at LTH

    Documents Required

    Applications shall be written in English and be compiled into a PDF-file containing:

    • résumé/CV, including a list of publications
    • a cover letter including a general description of past research and future research interests (no more than three pages)
    • contact information of at least two references
    • copy of the doctoral degree certificate, and other certificates/grades that you wish to be considered

    Terms of employment

    This is a full-time, fixed-term employment of 2 years. 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”) between Lund University, SACO-S, OFR/S and SEKO, dated 4 September 2008.

    About the University

    Lund University was founded in 1666 and is repeatedly ranked among the world’s top 100 universities. The University has 40 000 students and more than 8 000 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.

    LTH forms the Faculty of Engineering at Lund University, with approximately 9 000 students. The research carried out at LTH is of a high international standard and we are continuously developing our teaching methods and adapting our courses to current needs.

    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.


    Amir Aminifar

    Official advertisement

    Post-doctoral position in Machine Learning

    Post expires at 8:59am on Tuesday June 1st, 2021 (GMT+9)