Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 46 000 students and 8 500 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.
Description of the workplace
The Neurodegenerative Research group is focused on defining and understanding biological processes in Alzheimer’s disease and other neurodegenerative diseases. We analyze large datasets collected from patients and cognitively unimpaired volunteers, who undergo extensive testing with neuroimaging, biomarker measurements and neuropsychological testing. Our group applies sophisticated statistical analyses to these unique and state-of-the-art datasets to model processes related to aging and disease. The assistant researcher will join a growing multidisciplinary team of neuroscientists, statisticians, biologists and engineers, who are dedicated to increasing understanding of neurodegenerative diseases. The research group is led by Dr. Jacob Vogel, and this position is located at the Biomedical Center (BMC) in Lund.
We aim to create a positive, supportive and inclusive work environment based on respect and mutual consideration. We strive to create an environment that promotes development and is stimulating to all employees.
What we offer
Lund University is a public authority, which means that you will have special benefits, generous annual leave and an advantageous occupational pension. We also have a flexitime agreement that creates good conditions for work/life balance.
Read more on the University’s website about being a Lund University employee, Work at Lund University.
Work duties and areas or responsibilities
As an assistant researcher, you will primarily participate in data analysis and project management. The project will involve synthesizing massive PET datasets using AI to build diagnostic tools with immediate clinical applications. We have amassed tens of thousands of PET scans measuring the primary neuropathologies of Alzheimer’s disease. We aim to build deep learning models that automatically process and quantify this data, as well as perform clinical visual reads that compete with or outperform human clinicians. as it pertains to research foci described above. Other work responsibilities may include: data curation and processing; composition, editing, or executing of computational scripts; presenting data and findings at internal and external research meetings; composition of scientific manuscripts; informal mentorship of and skill-sharing with other employees; and/or composition of grants and/or research fellowships. Other work duties may also occur.
Qualifications
The following are required for the position:
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Ph.D. in neuroscience, engineering, quantitative biology, or a related discipline;
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Research experience in the field of neurodegenerative disease;
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Experience with curation, preprocessing and/or analysis of neuroimaging data
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Documented experience with deep learning
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Familiarity and experience with high-performance cluster-based computing
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Competence in computational programming using python
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Ability to independently perform large-scale data analyses
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Excellent communications skills in English, both verbal and written
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A proven track record of research productivity
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Candidate should be thorough, detail-oriented, and should demonstrate an intrinsic motivation for research into neurodegenerative diseases
The following are considered to be a merit:
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Direct experience working with PET data
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Direct experience with the application of deep learning to medical imaging data
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Familiarity with git and GitHub
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Familiarity with best practices in reproducibility and open science, including containers and singularity images
Other
This is a full-time employment limited to 1 year with preliminary start date on or after November 1st, 2026, or according to agreement.
How to apply
You apply for the position via the University's recruitment system.
Applications must include a personal motivation letter, a CV, contact information of three references, copy of degree and other documents you wish to be considered (e.g. letters of recommendation).
The Faculty of Medicine is a part of Lund University, and is responsible for education and research within medicine and healthcare. Our academic programs are closely linked with the healthcare system and are firmly anchored in the faculty’s strong research tradition. Our research spans a broad field within experimental preclinical research, near-patient clinical research and health sciences research. The Faculty of Medicine, with its 1,800 employees and 2,700 students in Lund and Malmö, is a knowledge-intensive meeting place for students, teachers and researchers from all over the world.
The Department of Clinical Sciences, Malmö is one of the six departments at the Faculty of Medicine, Lund University. We have a strong focus on clinical and epidemiological research and also conduct an extensive preclinical laboratory research.
We kindly decline all sales and marketing contacts.
Anställningsform: särskild visstidsanställning | Anställningens omfattning: heltid | Antal lediga befattningar: 1 | Sysselsättningsgrad: 100 | Ort: Lund | Län: Skåne län | Land: Sweden | Referensnummer: PA2026/1778 | Kontakt: Jacob Vogel 046-9743788, Jacob Vogel 046-9743788, Sarah Quist +4640391055, Sarah Quist +4640391055, | Facklig företrädare: SEKO: Seko Civil 046-2229366, SEKO: Seko Civil 046-2229366, OFR/ST:Fackförbundet ST:s kansli 046-2229362, OFR/ST:Fackförbundet ST:s kansli 046-2229362, SACO:Saco-s-rådet vid Lunds universitet 046-2220000, SACO:Saco-s-rådet vid Lunds universitet 046-2220000, | Publicerat: 2026-05-27 | Sista ansökningsdag: 2026-06-11
