As a tertiary and quaternary level provider of medical care, the University Hospital of RWTH Aachen combines patient-oriented medicine and care, teaching and research at an international level. The entire spectrum of medical care is provided through 36 specialist departments, 33 institutes and six interdisciplinary units. The co-location of patient care, research and teaching in a central building offers the best conditions for intensive interdisciplinary exchange and close clinical and scientific networking. Highly qualified teams of doctors, nurses and scientists work collaboratively to optimise the healthcare provision of our local, regional, national and international patients. Around 9,000 employees ensure that our care delivery is patient-oriented medicine and surpasses the highest quality standards. With 1,400 beds, the university hospital treats around 50,000 inpatient and 200,000 outpatient cases per year.
The Institute of Pathology-LaBooratory of Nephropathology/AG Boor & AG Bülow- opend a new position for a
Scientist (m/f/d) in Applied AI in Digital Pathology
The full-time position (38,5 hours/week.) starts as soon as possible and is initially expected to be limited to 1 year with the possibility of prolongation until the completion of the doctoral degree.
Our group has a focus on developing novel methods for digital pathology, advanced image analysis and deep learning. Major research areas in our group are image segmentation, next-generation morphometry and pathomics data analysis, sustainable AI (or green/energy-efficient AI), as well as secure and explainable AI.
We are looking for a scientist (PhD student or postdoc) who can make innovative contributions to these research areas.
We are an interdisciplinary and international team of young AI researchers, biologists and clinician scientists working on medical applications at the Institute of Pathology. Our hardware equipment comprises several GPU (NVIDIA DGX A100) and CPU clusters, and we have a continuously growing collection of both preclinical data sets and large multi-center data sets of patient biopsies.
Tasks
- Development, optimization, application, and clinical validation of deep learning algorithms in digital pathology
- Optimization of models and analyses for sustainability and safety
- 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
- Data management
Your Profile
- Graduate degree (Master's degree, PhD or equivalent) in computer science, engineering, statistics, bioinformatics, physics, or mathematics
- Desirable
- Advanced programming skills
- Experience with high-performance computing
- Experience with statistical analysis
- Ability to work both in a team and independently
- Good knowledge of the English language (Level C2 or higher)
- Strong motivation
- Enthusiasm for applied clinical research and above-average commitment
Why should you choose us?
- A performance-related salary in accordance with the provisions of the TV-L (EG 13)
- 30 days vacation/year for full-time employees
- Employees recruit employees for nursing care / bonus of 3,000 euros
- An attractive VBL company pension scheme
- Further education and training opportunities
- Flexible working hours with electronic time recording
- Attractive conditions for public transport
- A company kindergarten (places subject to availability)
- Staff residence (places subject to availability and by arrangement)
- An onboarding app for new employees
- Extended opening hours for our staff restaurant
This position is not gender specific.
The RWTH Aachen University Hospital promotes equal opportunities and diversity. Applications from women are expressly encouraged and if the applicant is suitable qualified, they will be given priority in accordance with the LGG. If suitably qualified, people with a registered disability will also receive priority.
Weekly hours are negotiable.
You should preferably 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: bewerbung@ukaachen.de (this transmission path cannot be as effectively secured) will be transferred to the aforementioned portal and any accompanying documents will be disposed of in accordance with data protection regulations immediately after transfer. After the retention period has expired, the data in the portal will also be deleted. If you do not agree to a transfer to the Application portal your application cannot be considered.
The application deadline for the advertised position GB-P-48609 is 24.08.2024.
Uniklinik RWTH Aachen, Institute of Pathology, Univ.-Prof., M.D., Ph.D., Peter Boor, Pauwelsstraße 30, 52074 Aachen.
For more detailed information please contact Univ.-Prof., M.D., Ph.D., Peter Boor, E-Mail: pboorukaachende.
