DIAS Fellow in Engineering within Organoid Intelligence

Syddansk Universitet (University of Southern Denmark - SDU); Odense; On-site; DKK 60,000 - 80,000; Full time

Job summary

The University of Southern Denmark (SDU) is seeking an outstanding candidate for a tenure-track Fellow position in Organoid Intelligence, starting January 1, 2027, or as soon as possible. This role requires a strong research profile and interdisciplinary collaboration.

Candidates should hold a PhD with a proven track record in AI, neuroscience, or related fields. The successful applicant will conduct high-quality research, publish in peer-reviewed academic journals, and engage in teaching and student supervision.

Located in Odense, Denmark, SDU promotes equal opportunity employment and welcomes all qualified applicants.

Qualifications

• Hold a PhD or similar qualifications within relevant fields such as AI, machine learning, or neuroscience.
• Outstanding track record suitable for the Assistant Professor level.
• Strong record of research and scientific publications.
• Well-documented teaching record.
• Fluency in English required; Danish is an advantage.

Responsibilities

• Conduct internationally competitive research.
• Publish in high-level peer-reviewed journals.
• Secure external funding for research projects.
• Commit to teaching and supervising students at various levels.
• Collaborate across multiple disciplines.

Skills

Research excellence

Interdisciplinary collaboration

Research funding acquisition

Commitment to teaching

Fluency in English

Education

PhD in relevant fields

Job description

The Danish Institute for Advanced Study (DIAS) and the Maersk Mc-Kinney Moller Institute at the University of Southern Denmark (SDU) seek an outstanding candidate to fill a tenure track Fellow (Assistant Professor level) position in the field of Organoid Intelligence. The candidate is expected to start on January 1, 2027, or as soon as possible thereafter.

The application deadline is September 15, 2026, at 11.59 PM/23.59 (CET/CEST).

We are looking for a researcher with clear potential for research excellence who thrives in and is inspired by interdisciplinary collaboration. The ideal candidate will be expected to contribute to high-quality research in their field while embracing DIAS’s mission of curiosity‑driven inquiry and interdisciplinary dialogue. The successful candidate should have a strong and promising research profile, with potential for attracting external research funding, and a demonstrated ability to work across disciplines. The candidate will be attached to both the Department and DIAS and should be prepared to engage in multiple and diverse research environments at SDU.

Who are we looking for

• Drive internationally competitive research activities at the highest level of ambition.
• Publish in high-level peer‑reviewed academic journals.
• Engage in various forms of research dissemination, including interdisciplinary research and dialogue.
• Play an active role in securing external funding, including both EU and Danish sources.
• Commit to excellence in teaching at both undergraduate and graduate levels, including participation in teaching, development of new courses, and supervision of BSc, MSc, and PhD students.
• Collaborate with interdisciplinary teams on artificial intelligence, neuroscience, biochemistry and molecular biology, bioimaging, and across various domains, also in the framework of DIAS.

Qualifications

• Hold a PhD or similar qualifications within relevant fields of data science such as AI and machine learning, neuroscience, physics and applied mathematics. Experience working within bioimaging is an advantage but not a precondition.
• Demonstrate an outstanding track record to be qualified at the Assistant Professor level by the hiring time. The candidate may have experience at the Assistant Professor level or must be qualified at the time of being hired. The candidate may also have postdoctoral experience and may already have experience at the assistant professor level.
• Demonstrate a strong track record of research and scientific publication.
• Have a well‑documented teaching record.
• Be fluent in English; the ability to communicate in Danish is an advantage but not a precondition.
• Exhibit a commitment to excellence and multidisciplinary collaboration.

Location

Odense M, Denmark

Equal opportunity employment

The University of Southern Denmark is an equal opportunity employer. We consider all qualified applicants without regard to race, colour, sex, gender identity, sexual orientation, religion, national origin, age, disability, pregnancy, or any other protected status.