Assistant professor in Machine Learning with a focus on Motion Analysis from Video

Work assignments 

The purpose of the employment is that the assistant professor is to be given the opportunity to develop independence as a researcher and to obtain both the research and teaching qualifications required for employment as associate professor.

The Computer Vision Laboratory (CVL) is looking for an assistant professor in machine learning with a focus on motion analysis from video. CVL is a division at the Department of Electrical Engineering (ISY), with a vibrant research environment with a total of 37 employees, including 9 researchers, 17 PhD students, and several adjunct researchers. CVL conducts research and education at undergraduate, master, and doctoral levels in machine learning within computer vision.

The division has been recognized as one of Sweden's best AI research environments in Vinnova's previous report, and LiU is Sweden's strongest AI university according to their latest report. We have activities within WASP (Wallenberg), ELLIIT (Excellence center), and LiU's profile area VDF (Visual Digital Futures). For more information about our work, please visit our website.

For this role, we collaborate with the Wallenberg AI, Autonomous Systems and Software Program, WASP, which is Sweden's largest individual research program in modern times. The program creates a platform for academic research and education in close collaboration with leading Swedish technology-intensive industry. The research includes artificial intelligence and autonomous systems that operate in collaboration with humans and adapt to their environment using sensors, information, and knowledge, creating intelligent systems of systems.

WASP's vision is excellent research and competence in artificial intelligence, autonomous systems, and software for the benefit of Sweden's industry and society. Read more: WASP-Sweden.

An important part of WASP is an international recruitment program, and the current announcement aims to strengthen Linköping University specifically in machine learning as part of the AI focus within WASP. The goal is to complement existing expertise in the area of computer vision with motion analysis from video.

As an assistant professor, you will work with machine learning with a particular emphasis on motion analysis from video. The specific focus is on research and development of methods and mathematical analysis relevant to motion analysis of humans and animals in 3D from video data. The general attention is on research and development of methods and mathematical tools aimed at better understanding the theory and underlying mechanisms within statistical and deep learning-based systems. As an assistant professor, you are also expected to explore application areas within health and life science as well as security and digital forensics.

You are active in the research community, participate in the division's activities such as seminars and workshops, participate in research projects, communicate results through scientific publications and help attract external research funding.

You contribute actively to the university's development work. Collaboration is an integral part of the university's research and education mission. Collaboration in research occurs by spreading, making accessible, and utilizing research.

The position may also involve administrative tasks, such as handling invitations to local seminar activities. We welcome your participation and interest in leadership tasks.

You will mainly work with research and PhD education. Subject to independent decisions from WASP, funding for your own salary and operations for 4 years is included, as well as funding for two postdoctoral researchers and two PhD students. You are expected to be responsible for your own research group and engage in WASP's graduate school, WASP's national meetings, and other activities. You are also expected to actively seek additional external research funds to secure the establishment of an independent research group. The duties include approximately 20 percent teaching.

Your work includes monitoring developments nationally and internationally within your field of study and other societal developments that are important to your work.

You are flexible and have the ability to move between different types of pedagogical and scientific contexts. You share knowledge and contribute to the working group’s professional development, collegial ways of working and social community. The fact that you are present and active is something we see as self-evident in order to ensure that you are able to perform your duties in an optimum way and enjoy your working community.

Qualifications

We are looking for someone with a doctoral degree or equivalent scientific competence. Primarily, we are seeking candidates who have obtained their doctoral degree within the last five years.

For this position, primary emphasis will be placed on scientific proficiency, secondary emphasis on pedagogical proficiency, and tertiary emphasis on other skills that are considered equivalent.

Regarding scientific proficiency, demonstrated experience in projects within the subject, including the development of methods and mathematical models, publications, and the use of technical equipment for motion analysis, is particularly meritorious.

Regarding pedagogical proficiency, experience in supervising students and PhD students within the subject is considered particularly meritorious.

Documented proficiency in collaboration within research is also particularly meritorious for the position.

Other skills that will be assessed for this position include technical proficiency and the ability to collaborate in a group. Experience in programming machine learning models and hardware for positioning systems is particularly meritorious.

Since teaching and research are largely conducted in English, you must be able to demonstrate the ability to teach and conduct research in English.

We are looking for a person with good collaboration skills, who works well with others and relates to them in a responsive and smooth manner. You listen and communicate constructively. You have independence and the courage to act according to your own convictions. You are outgoing and socially active in professional contexts, create contacts, and maintain relationships. You easily adapt to changing circumstances, can quickly change your perspective and approach, and see opportunities in changes.

The workplace

You can read about the the workplace here.

The employment

The length of employment for this position is 4 years, full time. Starting date by agreement.

An assistant professor may be employed until further notice, for a minimum period of four years and a maximum period of six years, as determined by the institution of higher education before the employment begins. The employment may be renewed, by a maximum period of two years, if, as a consequence of sick absence, parental leave, or other special circumstances of the assistant professor, additional time is necessary in order to achieve the purpose of the employment.

An assistant professor shall, after application, be promoted to associate professor if he/she is qualified for employment as associate professor and has been assessed following a test to be suitable for such employment according to the grounds for assessment that the University has determined. 

For more information on eligibility requirements, assessment criteria and recruitment procedures for teachers, see Linköping University’s rules of appointment. 
Linköping University’s rules of appointment.

Background screening may come to be carried out before any decision on employment is made.

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 below. Your application must be received no later than May 12 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.