DIAS Fellow in Engineering within Organoid Intelligence

Required 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.
• Letter of motivation that clearly explains the applicant's interest, qualifications, and motivation for the position.
• Detailed CV including documentation of experience, and contacts for possible references.
• An elaborate research and funding plan (max 4 pages) for the next three years including a description of synergy with the department's activities and the potential to benefit from DIAS’s interdisciplinary environment.
• Master’s and PhD degree certificates or equivalent (original and an official English translation).
• Complete list of publications, indicating which publications are most relevant for the position.
• Up to five of the most relevant research articles – if you submit a monograph, it counts as 3 articles. Please upload a pdf for each publication. For co-authored publications, briefly describe the extent of the co-authorship or your contribution to the publications (please do this for each co-authored publication). You can do so by using this form or by describing the co-authorship in such a way that the committee can assess the extent of your contribution.
• Teaching Portfolio as documentation for teaching and learning experience as well as supervision qualifications. Any format is acceptable, but you can find inspiration for structuring your teaching portfolio on the Faculty's teaching portfolio page.