Vacancies

We always welcome applications from strong candidates. Feel free to send your CV to a staff member if you are interested to join DIAG. If you consider applying please read this general information about doing a PhD at DIAG.

Open vacancies

Two PhD positions for artificial intelligence for analysis of prostate MRI

We are offering two PhD positions for artificial intelligence for analysis of prostate MRI

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PhD position on deep-learning-based image registration

We are offering a PhD position on deep-learning-based image registration

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Student projects

We welcome good master's and bachelor's students to perform academic research in our group. We offer various projects that can be tuned to match your thesis requirements. You can also browse through our research pages to read about the different research topics of our group.

Automated whole-slide image analysis and quality control

Development of a deep learning algorithm for automated whole-slide pathology image analysis and quality control

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Closed vacancies

The positions below are closed, please do not apply. They are listed to give you an idea of the kind of positions we regularly offer.

Vacancies

Postdoc Artificial Intelligence for Improving Toxicological Pathology

Improving prenatal screening in developing countries with AI-powered handheld ultrasound

PhD position on multimodal AI for urologic cancer

PhD position on artificial intelligence in healthcare

PhD candidate in MERAI Lab - Artificial intelligence for analysis of lung cancer screening CT scans

PhD candidate in MERAI Lab - Artificial intelligence for analysis of lung cancer screening CT scans

PhD candidate in Ethical, legal & societal aspects of automated screening of lung CT scans

PhD candidate ‘AI-based grading of cancer for improved assessment of patient prognosis’

Clinical PhD position on using novel artificial intelligence technology for accurate malignancy risk estimation of incidentally and screen-detected pulmonary nodules

PhD position on developing artificial intelligence algorithms for accurate malignancy risk estimation of incidentally and screen-detected pulmonary nodules

PhD candidate ‘Development of explainable AI methods for end-to-end-learning with gigapixel images in the BigPicture consortium’

PhD candidate for Computational Pathology Research

Deep learning for oncologic CT imaging

Deep learning diagnostic and interventional prostate MRI reconstruction and steering

PhD candidate to assess the value of Artificial Intelligence for Breast Cancer Screening

PhD candidate in 'AI-driven tumor detection in combined MRI-Radiotherapy’

PhD position on using artificial intelligence for improving the efficiency of lung cancer screening

Crossing the boundaries: machine learning for pancreatic cancer across radiology, pathology and genetics (PANCAIM)

PhD candidate ‘Improving care for prostate cancer patient through AI-driven radiology/pathology fusion’

Closing the gap: Implementation of AI-based breast and prostate cancer grading algorithms in clinical practice

PhD position for Extraction of imaging biomarkers for AMD with Deep Learning

Deep learning for Prostate MRI Surveillance

Postdoc Computational Pathology research

Postdoc 'Deep learning in digital gastrointestinal pathology'

Postdoc 'Deep learning to improve pathology diagnostics'

Postdoctoral Researcher for Deep Learning in Computational Pathology

Research Software Engineer in Digital Pathology

Research Software Engineer - Infrastructure

Research Software Engineer

PhD positions in four new AI labs for artificial intelligence in healthcare

Student assistant Computational Pathology

Student projects

AI steered interventional MRI

Progression of white matter hyperintensities in CSVD

Automated AAA detection on CT scans

Artificial intelligence-assisted detection of adhesions on cine MRI

Investigating the surge of commercial AI marketplaces for radiology

Prediction of bladder filling during radiotherapy treatment

AI-based quantification of non-alcoholic steatohepatitis

Automated detection of cranial arteriovenous shunts in 4D-CTA

Improving detection of COVID-19 classification with CT scans

Automated COVID-19 classification using ultrasound

Deep Learning to detect artifacts in whole slide images

Deep Learning for the differentiation of STIC lesions

AI to analyze lung cancer histology images

Deep learning for fully automated detection of enlarged lymph nodes in thoracic CT

Automated landmark detection on lateral headplates for orthodontic diagnosis

Quantitative facial phenotyping of patients with intellectual disability

Muscle and fat segmentation in 3D CT images for body composition assessment

MSc+PhD vacancy for body composition assessment in 3D CT and MR images

Detecting and characterizing vertebral fractures in CT scans

Screening for neuromuscular disorders using automatic classification of muscle ultrasound images

Deep learning for fully automated classification of pulmonary nodules

Pneumothorax detection

Automated prenatal ultrasound screening

Automatic segmentation and identification of the vertebrae in CT scans of patients with spinal deformities

Machine Learning in Acute Care: Liver

Machine Learning in Acute Care: Spleen