UKB cares for around 500,000 patients per year, employs around 9,000 staff and has total assets of 1.6 billion euros. In addition to the more than 3,300 medical and dental students, a further 585 people are trained each year in numerous healthcare professions. The UKB is ranked first among university hospitals in NRW in the science ranking and in the Focus Clinic list and has the third-highest case mix index (case severity) in Germany.
Science and research
Full-time
The Institute of Genomic Statistics and Bioinformatics (IGSB) at the University Hospital Bonn is developing artificial intelligence (AI) to accelerate the diagnosis of rare genetic diseases. As part of the Bone2Gene project (PI: Dr. B. Javanmardi) funded by the Federal Ministry of Education and Research (BMBF, GO-Bio initial program), we are seeking a strong and highly motivated as a full time position (38,5 h/week)
Deep Learning Engineer (m/f/d)
to work on the development of deep learning models for assisting the diagnosis of genetic bone disorders using X-ray imaging data.
The position is limited due the project to 30.09.2026.
Your tasks
- Data Collection: Collaborate with our global network of clinicians (in genetics, endocrinology, radiology, etc.) to collect data on various bone diseases
- Data Cleaning and Structuring: Develop a database of the collected data
- Design and Implement Algorithms: Develop algorithms for automated pre-processing of X-ray images and tabular data
- Deep Learning: Employ state-of-the-art deep learning architectures to train object detection and image classification models
- Conferences and Publications: Attend conferences for networking and presenting your results, and write scientific papers
- Stay Updated: Follow the latest research and developments in AI, data science, and computer vision
Your profile
- An excellent graduate degree (preferably a PhD) in Computer Science, Life Science Informatics, Physics, or a related field
- Strong proficiency in Python, with proven experience in deep learning frameworks (preferably PyTorch) and CNN-based image classification and object detection
- Experience with OpenCV or other computer vision libraries, and version control tools (preferably Git)
- Familiarity with cloud platforms (e.g., AWS), Docker, and database management systems
- A strong sense of responsibility, capable of working both independently and in a team
- Systematic approach to complex problems, with a research mentality, math-oriented mindset, and thorough documentation of results. Eagerness to learn and openness to new explorations
What we offer:
- A challenging role in an inspiring team of international experts in computer and data science, and medical genetics, within a forward-looking medical field
- Access to state-of-the-art high-performance computing infrastructure
- Remuneration in accordance with 100% TV-L E13 (subject to relevant collective agreement and personal requirements), initially limited to two years, with all public service benefits (including supplementary pension and annual special payment)
- Company health promotion, and further education and training opportunities
- The opportunity to be part of an innovative potential university spin-off
We offer
Future-proof employer
Future-proof employer
At UKB you are working on a hospital of the future. With an annual balance sheet of 1.6 billion in 2023, an annual surplus of over 21 million euros and the third-highest case mix index in Germany, UKB is excellently positioned for the future
Payment according to TV-L
Payment according to TV-L
Pay scale and performance-related remuneration according to TV-L / TV-Ä at university hospitals (incl. additional benefits such as annual bonuses)
Bonuses & special payments
Bonuses & special payments
In accordance with the TV-L, a special annual payment is made and there are other additional payments such as the bonus system for taking on additional tasks in the team, for selected additional qualifications, specialist further training and for permanent employment in the nursing pool. There is also a stand-in bonus for short-term assignments within < 96 hours from the duty-free allowance.
Advantages of the TV-E
Advantages of the TV-E
Additional benefit for relief in the areas entitled to TV-E (relief days)
Flexible working hours
Flexible working hours
Individual working time models, flexitime (for office jobs), home office
Start with a system
Start with a system
Structured onboarding, subject-specific and structured induction in an expert team, many practical instructors
Company pension scheme
Company pension scheme
Company pension scheme with the VBL and the option of deferred compensation for the clinic pension
Most attractive training center
Most attractive training center
Attractive training salary, predictable 38.5-hour week, 30 days of standard leave with 2 additional days of leave (TV-E), very good chances of being taken on after training, a training position in a collegial team with structured induction training
We are committed to diversity and equal opportunities.
Our aim is to increase the proportion of women in areas where women are underrepresented and to promote their careers.
to be particularly promoted. We therefore urge qualified women to apply. Applications will be handled in accordance with the state’s Equal Opportunities Act. Applications from suitable persons with a proven severe disability and persons with equivalent status are particularly welcome.
Please send your complete, informative application documents by e-mail with the title [DLE-Go-Bio] by 04.09.2024, quoting the job advertisement no. ST-10001 to:
Dr. rer. nat. Behnam Javanmardi
Institute for Genomic Statistics and Bioinformatics
University Hospital Bonn
Venusberg-Campus 1
53127 Bonn
Phone: 0228-287-14799
E-mail: lisker@uni-bonn.de (Institute’s Coordinator)
