Postdoctoral Researcher in AI and Medical Image Analysis for Kidney Transplant P

Job description

We are seeking a motivated postdoctoral researcher for a two-year position in medical image analysis. In this role, you will:

• Develop AI models using laser speckle contrast imaging (LSCI) to predict kidney outcomes.
• Create AI models for analyzing histopathological whole slide images (WSI) of kidney biopsies to improve predictions of kidney outcomes.
• Design and conduct ablation studies using current state-of-the-art models, such as Vision Transformers and Convolutional Neural Networks (CNNs). And find the common features the models are looking into using explainable AI.
• Integrate multimodal imaging techniques by combining H&E WSIs with LSCI to enhance prediction accuracy.
• Collaborate with a multidisciplinary team of pathologists, clinicians, and researchers.

Work environment

You will join the department of Pathology and Clinical Bioinformatics and be a key member of the PHANTOM group, led by dr. Andrew Stubbs, dr. Farhan Akram, and dr. Yunlei Li. Your main focus will be on AI-based projects related to kidney perfusion and computational pathology, under the guidance of dr. Farhan Akram, who leads the PatHology Artificial iNtelligence plaTfOrM (PHANTOM) project. This multidisciplinary initiative aims to develop cutting-edge deep learning methodologies for diagnostic pathology, translational research, and personalized medicine.

Our department is well-regarded for its innovative use of deep learning in disease diagnostics and prognostic research.

You will also collaborate with other experts, including dr. Marian Clahsen, the Principal Investigator of this project from the department of Pathology, and dr. Robert Minnee from the department of Surgery. Our team has access to state-of-the-art research facilities, including a GPU cluster and data servers, which will support your research and development efforts.

Qualifications and skills

The postdoctoral researcher we're looking for must have:

• PhD in Computer Science, Computer Engineering, or a related field.
• Experience in AI and computer vision, particularly in medical image analysis.
• Proficiency in Python, MATLAB and/or R programming.
• Hands-on experience with deep learning libraries such as Keras, TensorFlow, and/or PyTorch.
• Familiarity with computer vision and image processing libraries like OpenCV, Pillow, and scikit-image.

It's a plus if you have experience with kidney transplant pathology or related medical imaging fields.

Before you apply please check our conditions for employment.

Terms of employment

• You will receive a temporary position for 2 years. The gross monthly salary amounts a maximum of € 4.187,-(scale 10.4).
• Excellent fringe benefits, such as a 13th month that is already paid out in November and a individual travel expense package.
• An International Office which aids you in preparing for you arrival and stay.
• Pension insurance with ABP. We take care of approximately 2/3 of the monthly contribution.
• Special benefits, such as a incompany physiotherapist and bicycle repairer. And there is also a gym where you can work on your fitness after work.

More information

Application Process: Interested candidates should submit their CV, a cover letter detailing their relevant experience and motivation, and contact information for three references. For inquiries, please contact dr. Marian Clahsen via m.clahsen-vangroningen@erasmusmc.nl and/or dr. Farhan Akram, via f.akram@erasmusmc.nl.

We look forward to your application and the opportunity to advance transplant pathology with innovative AI-driven solutions!

No agencies please.