Researcher bei Uniklinik RWTH Aachen

The Institute of Pathology is seeking a

Researcher (m/f/d) in Artificial Intelligence in Digital Pathology

The fulltime position (38,5 h/week) starts as soon as possible, initially limited for 1 year with option of prolongation.

Our group has a long-standing focus on the development of novel approaches for augmented digital pathology diagnostics using advanced image analysis and deep learning, as well as the innovative method of next-generation morphometry and pathomics. We are looking for a scientist (Ph.D. or PostDoc) working on projects in these areas. The involvement in our other research focuses is also possible, particularly in the development of sustainable AI (or green AI), as well as secure and explainable AI.

Our group consists of an interdisciplinary, international, young team of researchers and clinician scientists, embedded directly in the medical application domain (pathology) at the Institute of Pathology. We have a strong focus on teamwork. Our group profits from several already available large, multicenter as well as real-world patients’ datasets (as well as preclinical data), and is continuously working on their further extension. We have our own state-of-the-art GPU HPC cluster with several NVIDIA DGX A100 and large secure storage.

Duties and responsibilities

• Development, optimization, application, and clinical validation of deep learning algorithms in digital pathology
• Optimization of models and analyses for sustainability and security
• Expanding our knowledge of pathology through applications of explainability and interpretability techniques, as well as extensive feature analysis
• Evaluation, presentation (visualization) and interpretation of results
• Independent review of the literature
• Development and application of statistical methods to understand disease trajectories by integrative analysis of transcriptomics and pathomics data and their linkage to clinical information from patients
• Datamanagement

Profile

• Graduate degree (Masters degree, PhD or equivalent) in computer science, statistics, bioinformatics, or computer science, physics, or mathematics
• Experience with high performance computing
• Advanced programming skills
• Experience with statistical analyses
• Ability to work both in a team and independently
• Good knowledge of the English language (Level C2 or higher)
• Strong motivation
• Enthusiasm for applied research on clinical issues and above-average commitment

Why should you choose us?

• 300 professions under one roof - more professional diversity is not possible
• We offer performance-based remuneration in accordance with the provisions of TV-L (EG 13), including attractive public service benefits
• In addition to a wide range of continued education and training opportunities we offer a variety of health promotion options and an extensive university sports program
• Monthly employee discounts through our corporate benefits program to save on private shopping
• Flexible working hours supporting your balance between career and family, because your work-life balance is important to us
• Attractive conditions for public transport or discounted employee parking for a relaxed commute
• A company kindergarten allowing your children to always be close by (Places subject to availability)
• Onboarding-App for new colleagues, to get to know the University Hospital RWTH Aachen before starting
• Long opening times of the staff canteen

This position is not gender specific.

The RWTH Aachen University Hospital promotes equal opportunities and diversity. Female candidates are strongly encouraged to apply for this position. If qualified, they will be given priority in accordance with the State Gender Equality Act (“Landesgleichstellungsgesetz”). If suitably qualified, people with a registered disability will also receive priority.

Weekly working hours are negotiable.

We strongly encourage the use of our digital application portal at www.karriere.ukaachen.de. Using the online portal, your documents will be secured in the electronic application folder where they are well-protected against unauthorized access. Applications can be sent to us by email: bewerbung@ukaachen.de and will be transferred to the aforementioned portal. Any accompanying documents will be deleted immediately after transfer, in accordanc