We are looking for ambitious and talented Postdoc candidates to drive innovation in one of the following areas:

1. AI for Glaucoma Screening & Triage: Glaucoma is a leading cause of irreversible blindness, often detected too late due to its asymptomatic early stages. While screening with color fundus imaging can help, its cost-effectiveness is limited by the reliance on expert interpretation. AI presents a game-changing opportunity to automate glaucoma detection, making screening more efficient, scalable, and accessible. However, current AI models struggle with performance variability across diverse datasets, limiting their real-world application. In this role, you will develop robust AI models for glaucoma screening and triage—ensuring reliable detection across varied clinical settings.
2. AI for Immunotherapy Patient Selection: Immunotherapy has transformed cancer treatment, but its effectiveness remains limited due to the complexity of biomarker analysis and variability in expert interpretation. To improve patient selection for immunotherapy, you will develop AI-driven methods to automatically extract key imaging biomarkers from pathology images across multiple cancers, including breast, lung, colorectal, gastro-esophageal, and head & neck cancers. This technology will reduce expert workload, enhance treatment precision, and improve patient outcomes.
3. AI for Organ Tissue Perfusion Assessment: Ensuring optimal blood perfusion during surgery is crucial for organ function and patient recovery. Laser Speckle Contrast Imaging (LSCI) is a promising technique for visualizing perfusion, but its interpretation is complex and requires technical expertise. In this role, you will develop AI-driven solutions that allow surgeons to quickly and intuitively visualize and assess tissue perfusion in real time. Our AI technology will provide objective, intraoperative assessments, helping to reduce complications like anastomotic leakage (AL) in colorectal cancer surgery and improving overall patient safety and outcomes.
4. AI for Orthopedic Implant Assessment: With the rise in orthopedic implants due to aging populations and chronic diseases, complications like implant loosening are becoming more common. Diagnosing these issues is challenging, costly, and time-consuming, often requiring advanced imaging (RSA, PET/SPECT), which can lead to unnecessary surgeries or prolonged patient suffering. To address this, you will develop AI-driven solutions to optimize image acquisition, interpretation, and workflow using standard low-dose CT and X-ray. This will reduce reliance on specialized academic expertise, lower healthcare costs, and improve patient outcomes by enabling faster, more accurate diagnoses.

Tasks and responsibilities:

• conducting independent research in AI and medical image analysis, resulting in academic publications in peer-reviewed international journals and/or books;
• actively contributing to the research activities of qurAI group;
• actively contributing in the acquisition of external funding for research, notably funding from research councils, national as well as European;
• actively contributing to and developing national and international research networks and other forms of cooperation;
• assisting in educational activities and supervision of MSc and PhD students.

Are you interested in the areas listed above, but not looking for a Postdoc position, please see the other vacancy on our website (13923) where you can apply for a PhD position.

Your experience and profile:

• PhD in Artificial Intelligence, Computer Science, Engineering or a related subject;
• experience in machine learning, deep learning and (medical) image analysis, demonstrated by publications in international refereed academic journals and academic publishers, and an affinity with medical topic;
• experience in supervising MSc and/or PhD students;
• good programming skills, particularly in Python and ML-related libraries;
• flexible, readiness to participate in interdisciplinary cooperation and multidisciplinary development (verifiably focused on collaboration with other disciplines);
• professional command of English and the willingness to learn Dutch.

We offer a temporary employment contract for 38 hours per week for a period of 18 months with a probationary period of two months.The preferred starting date is as soon aspossible. If we assess your performance positive, your contract will be extended.
The gross monthly salary, based on 38 hours per week and dependent on relevant experience, ranges between € 3,378 to € 5,331(scale 10).This does not include 8% holiday allowance and 8,3% year-end allowance. The UFO profile Researcher 4 is applicable. A favourable tax agreement, the ‘30% ruling’, may apply to non-Dutch applicants. The Collective Labour Agreement of Universities of the Netherlands is applicable.

Besides the salary and a vibrant and challenging environment at Science Park we offer you multiple fringe benefits:

• 232 holiday hours per year (based on fulltime) and extra holidays between Christmas and 1 January;
• multiple courses to follow from our Teaching and Learning Centre;
• a complete educational program for PhD students;
• multiple courses on topics such as leadership for academic staff;
• multiple courses on topics such as time management, handling stress and an online learning platform with 100+ different courses;
• 7 weeks birth leave (partner leave) with 100% salary;
• partly paid parental leave;
• the possibility to set up a workplace at home;
• a pension at ABP for which UvA pays two third part of the contribution;
• the possibility to follow courses to learn Dutch;
• help with housing for a studio or small apartment when you’re moving from abroad.

Are you curious to read more about our extensive package of secondary employment benefits, take a look here.