Vacant job

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Your responsibilities

The appointment as an adjunct lecturer aims to enable the university to conduct teaching and research based on such experience and skill that cannot be acquired solely within the framework of employment at the university. A prerequisite for holding the position of adjunct lecturer is approval from the main employer, as well as agreement on the financing of the position between the main employer and Linköping University before appointment.

The Department of Biomedical Engineering conducts research as well as undergraduate and graduate education in the fields of biomedical optics, neurotechnology, biomedical modeling and informatics, and biomedical imaging science. Within biomedical imaging science, projects involve, among other things, the analysis of tumors and femoral fractures, via images from MRI, X-ray, and digital pathology. The projects involve developing new analysis methods, primarily based on machine learning.

As an adjunct associate professor in Biomedical Imaging Science, you teach at the undergraduate and advanced levels in English and supervise students within the various programs of the Faculty of Science and Engineering. The work includes the development of teaching materials. The research generally involves the analysis of medical images from MRI, X-ray, and digital pathology by using methods from machine learning. The focus will be on the analysis of X-ray images within orthopedics, by developing methods to, for example, find atypical femoral fractures and predict prosthesis loosening. The methods primarily involve classification and segmentation of images. Part of the work involves helping orthopedic surgeons to efficiently review X-ray images.

You are active within the research community, participate in research projects, and communicate results through scientific publications, and to the extent possible, contribute to attracting external research funding. Collaboration is an integrated part of the university's research and educational mission. Your work involves following developments nationally and internationally within your field of study and the broader societal development that is relevant 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 professional development of the work group, collegial working methods, and social cohesion. We consider your presence and activity to be essential for you to perform your duties in the best possible way and thrive in the work community.

Your qualifications

We are looking for you who have a doctoral degree or equivalent scientific competence, and who have demonstrated pedagogical skill, or other professional skill that is significant with regard to the subject content and tasks of the position.

For this position, particular weight will be placed on scientific skill.

The following will be assessed regarding pedagogical skill:

• Experience of teaching courses in machine learning.
• Experience of developing teaching materials for courses in machine learning.

The following will be assessed regarding scientific skill:

• Experience of research in the automatic analysis of medical images. Medical images here refer to images from MRI, X-ray, OCT, and digital pathology. Analysis here refers to classification and segmentation.
• Experience of research in machine learning for the analysis of medical images. Machine learning here refers to, among other things, convolutional networks and vision transformers.
• Experience of handling and preprocessing medical datasets from hundreds or thousands of patients.

Other skills that will be assessed for this position:

• Knowledge of different machine learning frameworks, such as Tensorflow, Keras, and Pytorch.
• Ability to work independently and meticulously.
• Ability to communicate well with both doctors and engineers.
• Since teaching and/or research is conducted in English, you must demonstrate the ability to teach and/or conduct research in English.

Your workplace

Read more about our operations https://liu.se/organisation/liu/imt (https://liu.se/organisation/liu/imt)

About the position

For this position, we will initially offer an employment period of two years. Start date as soon as possible or by agreement.

An adjunct lecturer is appointed indefinitely, but for a maximum of two years. Such an appointment may be renewed.

An adjunct lecturer should have their main activity outside the higher education sector.

For more information on eligibility requirements, assessment criteria, and appointment procedures for teachers, see https://styrdokument.liu.se/Regelsamling/VisaBeslut/622784 (https://styrdokument.liu.se/Regelsamling/VisaBeslut/622784).

Salary and benefits

Linköping University applies individual salary setting.

Read more about benefits for employees https://liu.se/jobba-pa-liu/formaner (https://liu.se/jobba-pa-liu/formaner)

Trade union representatives

Information about trade union representatives, see https://liu.se/jobba-pa-liu/hjalp-for-sokande (https://liu.se/jobba-pa-liu/hjalp-for-sokande).

Application

Welcome to apply for this position by clicking the "Apply" button below. Your complete application including attachments must be received by Linköping University no later than 2026-06-11.

Applications and/or application documents received after the last application date will not be considered.

Publications, in pdf or word format, are attached to the application form. Publications that you do not have in digital form are sent by post in three copies to Linköping University, Registrator, 581 83 Linköping. The publications must be received by Linköping University no later than the last application date. Printed publications will not be returned, as documents received by Linköping University are preserved or destroyed according to current retention rules.

We welcome applicants with different backgrounds, experiences, and perspectives, as this enriches and develops our operations. For us, it is obvious to protect everyone's equal value, rights, and opportunities. Read about our work with equal conditions (https://liu.se/artikel/lika-villkor/).

Welcome with your application!

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