The Institute of Pathologie is offering as soon as possible a
Scientist position (m/f/d) in the field of Artificial intelligence in Digital Pathology
The full position (100%) is initially for 1 year in the pay group 13 TV-L, with a direct possibility of further employment for another 3-4 years in frame of our recent ERC Consolidator Grant. Part-time work in home office is offered.
- Development, optimization, application and clinical validation of Deep Learning algorithms in digital pathology
- Evaluation, presentation and interpretation of results
- Independent literature research
- University degree in bioinformatics, medical informatics, computer science, engineering, physics, biology, biochemistry, biotechnology or medicine with above-average grades.
- Experience in image analysis and machine learning with focus on the application of neural networks to image processing systems, ideally in digital pathology
- Advanced programming skills in Python, MATLAB and popular deep learning libraries such as PyTorch u./o. TensorFlow
- Prior knowledge/publications in the field of digital pathology are helpful
- Basic knowledge in histology and histopathology is helpful
- Team-oriented working
- Enthusiasm in applied research on clinical questions and above average commitment
- Language skills in English
- Experience in computer skills (Microsoft Office or similar) and compilation of statistics
What we offer
We are a young interdisciplinary team in the Institute of Pathology with good supervision and many years of experience in AI in digital pathology. We are Internationally well networked and offer a broad spectrum of methods. In terms of AI-assisted medical image processing, we serve numerous application areas, including classification, regression, and segmentation tasks as well as more sophisticated fields such as network explainability, multimodal data fusion, survival prediction, and domain transfer with the final goal to improve medical diagnostics. A complete and excellent infrastructure for digital pathology including high performance GPU servers (e.g. DGX A100) as well as large and well annotated datasets are already available locally.
This advertisement is adressed to all genders. The RWTH Aachen University Hospital promotes equal opportunities and diversity. Applications from women are expressly encouraged and will be given priority in accordance with the LGG. Employment below the weekly working hours specified above is generally possible. Severely disabled people will be given priority if they are equally qualified.
You should only use our digital application portal at www.karriere.ukaachen.de for your application. There you have the option of securing your documents in the electronic application folder to prevent unauthorized access. Applications that reach us by email to: firstname.lastname@example.org (this transmission path is generally not sufficiently protected) will be transferred to the v. G. Portal. The documents sent will be disposed of immediately after being transferred to the portal in accordance with data protection regulations. After the prescribed retention period has expired, the data in the portal will also be deleted. Do you agree to a transfer to the v. G. Unfortunately, we cannot consider your application.
Please enclose CV, certificates, list of publications, presentation of research interests, at least two letters of reference to the application documents
Uniklinik RWTH Aachen, Institute of Pathologie, Univ.-Prof. Dr. med. Peter Boor, Ph.D., Pauwelsstr. 30, 52074 Aachen.
The application period for the advertised position GB-P-29337 ends on 31.07.2021.
If you have further questions please contact Univ.-Prof. Dr. med. Peter Boor, Ph.D., Tel.: +49 (0) 241 80 85227, E-Mail: email@example.com.
Further information about the group can be also found here: www.labooratory.ukaachen.de.