Associate Researcher in Radiology and Imaging

The University of Gothenburg tackles society’s challenges with diverse knowledge. 56 000 students and 6 600 employees make the university a large and inspiring place to work and study. Strong research and attractive study programmes attract researchers and students from around the world. With new knowledge and new perspectives, the University contributes to a better future.

The Institute of Clinical Sciences is one of six Institutes within Sahlgrenska Academy at the University of Gothenburg. We conduct research and education that puts people's health and quality of life in focus. We represent 16 different research areas and are divided into four sections. Through a fruitful collaboration with the healthcare and Sahlgrenska University Hospital, we have developed joint projects and meeting places that benefits both health care and research.

The Department of Radiology and Imaging is located at the Department of Clinical Sciences at the Faculty of Medicine, Sahlgrenska Academy at the University of Gothenburg. The research at the department of radiology and imaging is aimed at mapping the occurrence of disease, and studying and characterizing diseases and disease processes. Against the background of the extremely fast and dynamic technical development in radiology, it is also an important task to evaluate new radiological methods and to find their place in clinical healthcare. As a associate researcher will you be part of an interdisciplinary team with both physicists and radiologists. 

Duties 

The objective of this project is to develop artificial neural networks for signal processing of diffusion-weighted MR images of the prostate. As an associate researcher you will implement different types of neural networks in Python, which will then be applied to the MR data. You will also work with signal processing of clinical MR data. Depending on your qualifications and interests, relevant MR measurements may also be included in the assignment.

Qualifications 

Applicants must have a degree of Master in a subject relevant to the position, such as engineering, physics or mathematics. Good programming skills are a requirement. Especially meritorious is experience with certain Python libraries, such as pytorch and tensorflow. Experience with MR technology is advantageous. Furthermore, it is expected that applicants can work both independently and in a group together with the research team and have good knowledge of both written and spoken English. 

Employment 

The employment is limited (temporary) for 6 months, 100 % of full-time with the possibility of 5 months extension. The employment is placed at the Institute of Clinical Sciences, Radiology and Imaging. Starting date; On agreement. 

Contact information for the post 

If you have any questions about the position, please contact researcher Stefan Kuczera; phone: +46 766-18 45 50 or e-mail: stefan.kuczera@gu.se

Unions 

Union representatives at the University of Gothenburg can be found here: https://www.gu.se/om-universitetet/jobba-hos-oss/hjalp-for-sokande  

Application 

To apply for a position at the University of Gothenburg, you have to create an account in our recruitment system. Submit your application via the University of Gothenburg’s recruitment portal by clicking the “Apply” button. To the applications is the applicant asked to provide:

• A cover letter, and a motivation to why you are applying
• Detailed CV
• Certificate of master's degree 
• Thesis as well as any manuscripts and conference abstract 

It is your responsibility to ensure that the application is complete as per the vacancy notice, and that the University receives it by the final application deadline. 

Applications must be received by: 2024-11-08

The University works actively to achieve a working environment with equal conditions, and values the qualities that diversity brings to its operations.

Salaries are set individually at the University.

In accordance with the National Archives of Sweden’s regulations, the University must archive application documents for two years after the appointment is filled. If you request that your documents are returned, they will be returned to you once the two years have passed. Otherwise, they will be destroyed.

In connection to this recruitment, we have already decided which recruitment channels we should use. We therefore decline further contact with vendors, recruitment and staffing companies.