Vacant job

Lund University was founded in 1666 and is consistently ranked among the world's leading universities. We have approximately 46,000 students and 8,500 employees in Lund, Helsingborg, and Malmö. We are united in our strive to understand, explain, and improve our world and people's conditions.

Workplace Description

The Research Group for Neurodegenerative Diseases focuses on defining and understanding the biological processes involved in Alzheimer's disease and other neurodegenerative disorders. We analyze large datasets collected from patients and cognitively healthy volunteers who undergo extensive testing involving brain imaging, biomarker measurements, and neuropsychological tests. Our group uses advanced statistical tools to analyze this unique and state-of-the-art data to model processes related to aging and disease. As an Assistant Researcher, you will join a growing interdisciplinary team of neuroscientists, statisticians, biologists, and engineers dedicated to increasing the understanding of neurodegenerative diseases. The research group is led by Dr. Jacob Vogel, and the position is located at the Biomedical Centre (BMC) in Lund.

We strive to create a positive, supportive, stimulating, and inclusive work environment based on respect and mutual consideration, and we aim to promote employee development.

What We Offer

Lund University is a government agency, which means you receive special benefits, generous vacation time, and a favorable occupational pension. We also have a flexible working hours agreement that creates good conditions for work-life balance.

Read more on the university's website about being employed at Lund University, Work with us (#).

Tasks and Responsibilities

As an Assistant Researcher, you will primarily participate in data analysis and project management. The project will involve synthesizing very large PET datasets using AI to develop diagnostic tools with immediate clinical applications. We have collected tens of thousands of PET scans imaging the primary neuropathologies of Alzheimer's disease. Our goal is to develop deep learning models that automatically process and quantify this data, as well as perform clinical "visual" assessments that match or exceed human clinicians' performance. This work takes place within the research areas described above. Other tasks may include: data curation and processing; development, editing, or implementation of computational scripts; presentation of data and results at internal and external research meetings; authoring scientific manuscripts; informal mentoring and knowledge sharing with other employees; and authoring grant applications and/or research fellowships. Other duties may also occur.

Qualifications

The following qualifications are required for the position:

• PhD in neuroscience, engineering, quantitative biology, or a related field
• Research experience in neurodegenerative diseases
• Experience in curation, preprocessing, and/or analysis of neuroimaging data
• Documented experience with deep learning
• Experience with and good knowledge of high-performance cluster-based computing (HPC)
• Competence in Python programming
• Ability to independently conduct large-scale data analyses
• Very good communication skills in English, both oral and written
• Documented research productivity
• The applicant must be meticulous, detail-oriented, and demonstrate strong internal motivation for research into neurodegenerative diseases

Qualifications that are meritorious for the employment include:

• Direct experience working with PET data
• Direct experience applying deep learning to medical image data
• Experience with git and GitHub
• Knowledge of good practices in reproducible research and open science, including container technology

Other Information

The appointment is a fixed-term special appointment (SÄVA) for 12 months with a tentative start date of November 1, 2026, or as agreed. Full-time (100%).

Application Instructions

The position is applied for via the university's recruitment system.

The application must include a cover letter describing how you meet the sought-after qualifications, a CV, contact details for three references, degree certificates (including transcripts), and any other documents you wish to be considered (e.g., recommendation letters).

The Faculty of Medicine is a business area within Lund University, responsible for education and research in medicine, care, and health. The education takes place in close collaboration with healthcare and is well rooted in the faculty's strong research tradition. The faculty's research spans a broad field within experimental basic research, patient-oriented clinical research, and health sciences research. The Faculty of Medicine, with over 1,800 employees and 3,000 students in Lund, Malmö, and Helsingborg, is a knowledge-intensive meeting place for students, teachers, and researchers from around the world.

The Department of Clinical Sciences in Malmö is one of the six departments at Lund University's Faculty of Medicine. We have a strong focus on clinical and epidemiological research and also conduct extensive preclinical laboratory research.

We decline all contact from advertising sales, recruitment, and staffing agencies due to public procurement regulations.

Open to All
We focus on your competence, not your other prerequisites. We are open to adapting the role or workplace to your needs.