Do you want to develop your research and teaching in an environment where collaboration with industry and society is a matter of course? With us, you will work with dedicated colleagues, access to modern research infrastructure and good opportunities to attract external funding. You are given the space to make a real difference for your students, your research and society at large.

The Department of Systems and Space Technology (SRT) contributes to the development of the emerging field of neuromorphic technologies for next-generation intelligent systems and AI, which are developed with guidance from the structure and function of biological nervous systems for high energy efficiency, scalability, and performance. The Machine Learning (ML) group at SRT is now looking for outstanding researchers to contribute to our growing activities in the field. The ML group conducts fundamental and application-driven research in machine learning for the long-term welfare of society. To strengthen our activities, we are now recruiting an outstanding researcher in neuromorphics, with a particular focus on the following areas:

• Modeling and optimization of physically instantiated neuromorphics
• AI-driven codesign of neuromorphic hardware, algorithms and software
• Sensor-oriented neuromorphic AI for high energy efficiency, fast response time and high reliability
• Bio-inspired algorithms for efficient inference and learning

Topic description

Machine learning focuses on methods by which computer systems use data to improve their own performance, understanding and to make concrete predictions and is closely related to applications.

Duties

As an Assistant Professor, you will be involved in teaching, research and pedagogical development. You follow international developments in the subject area and supervise PhD students.

The role also includes:

• leading and developing research projects
• actively seeking external research funding
• publishing and communicating research results in scientific contexts
• being active in the national and international research community
• contributing to business development and taking part in management and administrative assignments

You will collaborate with researchers within the PHINDER project as well as with academic and industrial partners within Neuromorphic Sweden and the international network MODE Collaboration.

The position offers good opportunities to develop your independence as a researcher and to qualify for future teaching positions with higher qualification requirements.

Eligibility

To meet the requirements for employment as an Associate Senior Lecturer, the applicant must

• have a doctoral degree, or have a foreign degree that is considered equivalent to a doctoral degree

Assessment criteria

The following assessment criteria are applied for the position:

• Scientific excellence
• Other evaluation criteria

Other evaluation criteria (in order of priority):

• University degree in engineering physics and/or electrical engineering, or equivalent, is meritorious.
• Deep knowledge and proven experience in both basic and applied research in neuromorphic technology and spiking neural networks as evidenced by publications in leading conferences or scientific journals.
• Experience working with event-based data or neuromorphic sensors, as well as experiments with neuromorphic hardware and development of spiking neural networks.
• International research experience, including interdisciplinary collaborations and mobility.
• Has good pedagogical skills and experience of being responsible for course elements, including planning, implementation and follow-up. Have also contributed to course development in collaboration with colleagues and conducted and assessed oral examinations.
• Experience of working as an independent researcher, including:

- applying for and obtaining external funding for research and/or development projects in competition

- holding various roles in research projects

Primarily, those who have completed a doctoral degree no more than five years before the end of the application period should be considered for employment. If there are special reasons, the doctoral degree may have been obtained earlier. Special reasons are defined as leave of absence due to illness, parental leave, clinical service, positions of trust, or similar circumstances.

Term of employment

For this position, the term of employment is four years.

Trial for senior lecturer

The purpose of the position is to give the teacher the opportunity to develop their independence as a researcher and to gain merit both scientifically and pedagogically in order to meet the requirements for eligibility for a position as senior lecturer.

An associate senior lecturer shall, upon application, be promoted to senior lecturer and an appointment until further notice if he/she is qualified for an appointment as a senior lecturer, and is deemed suitable for such an appointment in accordance with the assessment criteria set out below.

At the examination, the Associate Senior Lecturer is required to have completed higher education pedagogical training equivalent to 7.5 credits or otherwise acquired equivalent knowledge.

During the period of employment, the Associate Senior Lecturer must also independently, to a considerable extent and with high quality, contribute to the University's research and demonstrate good teaching skills.

Information

The position is located in Luleå. For further information, please contact Professor Fredrik Sandin, 0920-49 31 63.

Union representatives: SACO-S Diana Chroneer, 0920-49 2037 mailto:diana.chroneer@ltu.se and OFR-S Marika Vesterberg, 0920-49 1721 mailto:marika.vesterberg@ltu.se.

Application

We prefer that you apply for the position via the application button below where you attach the application documents requested, including diplomas (certified and translated into Swedish or English), pedagogical self-reflection and publications, etc. Follow the link https://www.ltu.se/download/18.4857b8d018b84b04208893d/1698827835983/INSTRUKTIONER%20F%C3%96R%20S%C3%96KANDE%20SVe.pdf for complete instructions. Please mark your application with the reference number below. Both the application and the degree certificate must be written in Swedish or English.

Date for application: June 21, 2026

Reference number: 3536-2026