Researcher in Chemistry

About the company

Welcome to Linnéuniversitetet! Here you will meet 2,200 employees and 40,000 students who together follow the vision of putting knowledge in motion for sustainable societal development. At our university, research and education are conducted with a gaze toward the future. Our proximity to industry, both locally and globally, gives us long reach and the opportunity for change that makes an impact. All that is needed is a place where ideas are given space to meet and grow. That is what we have created – and you are invited. Change starts here! The Department of Chemistry and Biomedicine has approximately 45 employees and is located at the Kalmar campus. The department constitutes a dynamic environment for knowledge creation and learning and offers education as well as conducts research within biomedicine, pharmaceutical science, biochemistry, and chemistry. The department is now seeking a prominent researcher in chemistry for the research project ”CREATE: Computational Redesign and AI-Training for Enzymes Incorporating Metal-Binding Noncanonical Amino Acids”. The project is carried out in collaboration with Seoul National University in South Korea.

Do you want to know more about the Faculty of Health and Life Sciences? Read more at Lnu.se https://www.lnu.se/mot-linneuniversitetet/Organisation/fakulteten-for-halso--och-livsvetenskap/

Your tasks

Job Description A fixed-term researcher position is available within the Computational Chemistry and Biochemistry Group (CCBG). The researcher will work with the development of a multitask machine learning framework (MTL) for enzyme design. The work also includes the further development of design methods using AI-based protein prediction followed by simulations with improved sampling.

Requirements

Requirements: Master's degree or higher degree in chemistry, biochemistry, or a related subject area with a focus on computational chemistry. Documented experience of machine learning (ML) applied to studies of proteins. Good experience in the development, training, and evaluation of ML models. Very good ability to express oneself in English, both orally and in writing.

Meritorious: Documented experience of molecular dynamics (MD) simulations of proteins, especially with AI-based methods for improved sampling, for example through authorship or co-authorship of high-quality scientific publications. Experience of multitask learning (MTL), especially within protein design or related areas.

Assessment Criteria The assessment concerns the applicant's ability to successfully contribute to the implementation of the project. Particular weight will be placed on the applicant's potential to carry out the research project as well as personal suitability for the employment.

How to apply

Contact Persons Project Leader: Professor Ran Friedman, Telephone: +46-480-446290 E-mail: mailto:ran.friedman@lnu.se Head of Department: Docent Anna Asplund Persson, Telephone: +46-480-446241 E-mail: mailto:anna.asplund@lnu.se HR Partner: Marianne Palmér, Telephone: +46 (0)480-447303, E-mail: mailto:marianne.palmer@lnu.se

Welcome with your application no later than November 11, 2026.

The application must be written in English and include CV with contact details (phone number, e-mail address, address, and date of birth). Personal letter (max 1 page) where you describe your motivation and how you meet the assessment criteria. Certified copies of transcripts. Certified copies of degree certificates and other certificates verifying eligibility and qualifications. Summary of the Master's thesis (max 1 page). Copy of passport Name and contact details of two references who have consented to provide recommendations.

Other

Terms of Employment Employment and scope: Fixed-term employment for 8–11 months with a scope of 70–100%. Final terms are determined based on the candidate's competence and availability. Commencement: According to agreement. Place of work until further notice: Kalmar, Sweden.

Linnéuniversitetet has the ambition to utilize the qualities that an even gender distribution and diversity bring to the organization. Register your application via the "Apply" button at the bottom of the advertisement. The merits you claim must be substantiated with certificates and must be attached digitally to your application. The application and other documents must be marked with the employment's registration number. All documents claimed must have arrived at the university no later than 23:59 on the last day of application. Please note that identification must be presented at the time of the interview. We decline telephone calls from sellers of job advertisements.