The Institute of Molecular Medicine and Collaborative Research Center 1382 open a new position for a
AI engineer (m/f/d) in Image Analysis
Working hours: Full-time (38.5 hours/week)
Time limit: 2 years with option of prolongation
Entry: as soon as possible
Remuneration: EG 13 (TV-L)
The position is embedded in CRC1382 (https://www.crc1382.org/), a DFG-funded Collaborative Research Centre. CRC1382 research projects replace the traditional organ-centred view of the gut and liver with an integrated approach that considers the combined function of the gut and liver, their metabolic and immunological capacity, and their role in host-microbial interactions. More than 60 clinicians and basic scientists work together to comprehensively understand and model the gut-liver axis and to develop innovative diagnostic tools and interventional strategies to improve patient care. We are looking for an expert to strengthen the expertise in AI-based image analysis in CRC1382. We offer the opportunity to work in an exciting field of science, in a highly collaborative environment and on projects aimed at improving patient care and diagnostics.
Your tasks
As an AI Engineer in our CRC 1382, you will:
- Apply and maintain existing AI models and optimise them for specific problems according to the requirements of the CRC1382 projects. You will be responsible for the end-to-end deployment of AI models, including data standardisation, model deployment on local server, design of simple and user-friendly graphical interface, model evaluation and testing, automation with CI/CD pipeline, data management. Conduct research on existing AI frameworks to adapt and optimise solutions for medical image analysis and multimodal data integration
- Work with large and complex medical image datasets
- Apply technical expertise in AI to strengthen CRC1382 projects. Provide support and consultancy of CRC1382 scientists and cooperative development of image analysis and data integration tools
Your profile
- A Master's or Ph.D. degree in Computer Science, Mathematics, Data Science or related engineering degree with demonstrated experience in ML/AI
- Solid knowledge of ML and AI fundamentals and applications, especially in computer vision
- Strong technical hands-on experience in Python. Nice to have: experience of programming in R
- Strong technical hands-on experience and solid knowledge of common ML/AI libraries such as pytorch, tensorflow, scikit-learn
- Good practical experience of implementing graphical user interfaces
- Knowledge of working with a Linux system, the concept of containerisation (docker, singularity, ...), github/gitlab
- Good statistical skills and proven experience working with complex data
- Good knowledge of English (level C2 or above)
- Strong motivation, self-motivation and curiosity to learn
Why should you choose us?
- 30 days vacation/year for full-time employees
- Employees who recruit employees for nursing care get a bonus of 3,000 euros
- An attractive VBL company pension scheme
- Further education and training opportunities
- Attractive conditions for local traffic transport system
- 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
The application deadline for the advertised position GB-P-49905 is 26.01.2025.
Uniklinik RWTH Aachen, Institute of Molecular Medicine, Prof. Dr. rer. nat. Oliver Pabst, Pauwelsstr. 30, 52074 Aachen.
For more detailed information please contact B. Aycicek Tel.: 0241/ 80 85686, E-Mail: baycicekukaachende
We look forward to receiving your application!
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
