With you, we aim to position Amsterdam UMC as a leading computational pathology center in Europe, for which we deem your skill and ambitions in artificial intelligence (AI) as indispensable. You will develop and apply AI methods to integrate morpho-molecular tissue characterization, including liquid biopsies, with advanced quantitative image-based analysis to tailor personalized treatment and diagnostics. Our pathology department is renowned for its deep learning-based image analysis research, leveraging international multicenter datasets and extensive clinical- and molecular imagery. Our commitment extends beyond research, with a focus on social outreach and valorization efforts.

To achieve our vision, we seek a highly motivated tenure-track assistant professor in AI to form the linking pin in our computational pathology core. Joining Amsterdam UMC, means contributing to innovative global advancements in AI-driven healthcare.

We are seeking a highly ambitious researcher to set up their own research-line in health AI, holding a PhD in computer science, medical image analysis, biomedical engineering, applied mathematics, computational physics, or related fields. Experience in medical- or spatial molecular image analysis is preferred.

Specifically, we are looking for someone with:

• Affinity for biomedical data research, interested in developing models that facilitate the fusion of multiple modalities, including histopathology, various genomics, and spatial molecular imaging;
• Therefore, candidates should possess knowledge of state-of-the-art computational methods related to spatial data analysis, such as multimodal deep learning, self-supervised computer vision, multiple instance learning, panoptic segmentation, and geometric deep learning;
• Strong programming and AI software engineering skills are essential, preferably in medical image recognition and genomics, as well as extensive experience with high-performance computing (HPC) and optimization on multi-node CPU/GPU/TPU clusters required;
• Proficiency in state-of-the-art deep learning libraries in Python (e.g., PyTorch) is mandatory. Experience with MLOps and professional data organization is advantageous, as is experience with valorization.

Additionally, candidates should either hold University Teaching Qualification (UTQ) registration (Basis Kwalificatie Onderwijs in Dutch) or be willing to obtain it. Excellent communication skills and the ability to collaborate effectively with computational biologists and pathologists are essential attributes for this role.

Tenure-Track Criteria
This tenure-track faculty position entails an initial maximum 4-year contract, with the potential for a permanent full faculty position contingent upon tenure-track achievements evaluated based on the following criteria:

• Publications in medium- to high-impact journals;
• Establishing and fostering intra- and extramural collaborations;
• Acquisition capacities for external funding to support research endeavors, from organizations such as KWF, ERC, and/or NWO.

Your start-up package entails state-of-the-art computing infrastructure (dedicated Nvidia H100 GPUs), financial and personnel support.

• A 4-year contract, with the potential for a permanent full faculty position.
• Salary scale 12: € 5.677 - € 7.232 with a 36 hour week (depending on qualifications and experience).
• Besides a good basic salary, you will also receive an 8.3% year-end bonus and 8% holiday allowance.
• Free and unlimited access to our online learning environment GoodHabitz.
• Pension accrual with BeFrank, a modern, understandable, and well-priced pension.
• Excellent accessibility by public transport and reimbursement of a large part of your transport costs. We also have a good bicycle scheme if you cycle,
• An active personnel association and the Young Amsterdam UMC association, both of which organize fun (sports) activities and events.

For more information about our employment conditions, please visit our website.

Amsterdam UMC

You shall play a major guiding role within our Amsterdam UMC team of clinicians and experts in deep learning, statisticians and epidemiologists, genomics, genome bioinformatics as well as medical image analysis. Beyond Amsterdam UMC you will bring your own network and further broaden this through (international) collaborative efforts.