Postdoc in Machine Learning (ML) for Biological Data DTU Compute
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Job Location:
Kgs. Lyngby - Denmark
Monthly Salary:
Not Disclosed
Posted on:
10 hours ago
Vacancies:
1 Vacancy
Job Summary
If your background is in machine learning (ML) and you have a desire to make discoveries in health sciences then this position as Postdoc is your possibility.
In this collaboration with Bioneer DTU Bioengineering DTU Health Tech and KU DTU Compute is aiming to create a shared data framework and platform to pioneering models and methods with applications to stems cells for screening purposes and cell-based therapies. We will develop methods for modelling missing not at random (MNAR) observationsand quantifying uncertainty using Bayesian methods and deep learning architectures to improve and optimize stem cell differentiation and manufacturing.
As our new colleague you will be part of a diverse and multi-disciplinary team which is engaged in machine learning and has a drive to make novel discoveries for the benefit of the human health.
Responsibilities and qualifications
Your overall focus will be to strengthen the machine learning and computational modeling of our project in close collaboration with our will:
- Develop ML methods to handle conditional data generation mechanism in the development pipeline and for optimization and simulation
- Develop ML methods for uncertainty quantification
- Develop and apply ML methods for transfer learning between applications
- Dissemination of high-quality models and data to an interdisciplinary team
- Publish scientific papers
- Assisting in data processing and data management
We are looking for a profile with the motivation and drive needed for making novel discoveries in a multi-disciplinary look for:
- Creativity and openness to innovation
- Enthusiasm and excellent collaboration skills
- Passion for computational modelling
- Strong oral and written skills in English
As a formal qualification you must hold a PhD degree (or equivalent) in machine learning or similar academic field.
We offer
The position offers a unique possibility of being part of an interdisciplinary research team headed by Dr. Line H. Clemmensen at DTU Compute in collaboration with researchers at DTU Bioengineering DTU Health Tech and KU. The postdoc will be part of a cooperative research agreement between DTU and Bioneer.
DTU is a leading technical university globally recognized for the excellence of its research education innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.
Salary and terms of employment
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union.
The period of employment is 1 year. The starting date is 1 May 2026 or according to mutual agreement. The position is full time.
You can read more aboutcareer paths at DTU here.
Further information
Further information may be obtained fromProfessor Line Clemmensenor Manja Grønberg.
You can read more aboutDTU Compute at.
If you are applying from abroad you may find useful information on working in Denmark and at DTU atDTU Moving to Denmark.
Application procedure
Your complete online application must be submitted no later than 25 March 2026 (23:59 Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply please open the link Apply now fill out the online application form and attach all your materials in English in one PDF file. The file must include:
- Application (cover letter)
- CV
- Academic Diplomas (MSc/PhD in English)
- List of publications
Applications received after the deadline will not be considered.
All interested candidates irrespective of age gender disability race religion or ethnic background are encouraged to apply. As DTU works with research in critical technology which is subject to special rules for security and export control open-source background checks may be conducted on qualified candidates for the position.
DTU Compute
DTU Compute Department of Mathematics and Computer Science is an internationally recognised academic environment with over 400 employees and 10 research sections. We broadly cover digital technologies within mathematics data science computer science and computer engineering including artificial intelligence (AI) machine learning internet of things (IoT) chip design cybersecurity human-computer interaction social networks fairness and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world as a basis for the analysis design and implementation of complex systems. We focus on ensuring that our research results contribute to creating a better society by supporting areas such as health green transition energy supply and life science. We collaborate with universities public and private organisations and companies in Denmark and abroad and through DTUs startup ecosystem we encourage innovation and entrepreneurship. We have a strong ethical human and sustainable approach that ensures integrity in our work. Therefore we strive for and take responsibility for driving the democratisation of digital technologies so that everyone has the opportunity to actively participate in the development and we ensure a continued open democratic and inclusive society for the benefit of all. At DTU Compute we value diversity inclusion and a flexible work-life more about us at.
Technology for people
DTU develops technology for people. With our international elite research and study programmes we are helping to create a better world and to solve the global challenges formulated in the UNs 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13500 students and 6000 employees. We work in an international atmosphere and have an inclusive evolving and informal working environment. DTU has campuses in all parts of Denmark and in Greenland and we collaborate with the best universities around the world.
Key Skills
- Industrial Maintenance
- Machining
- Mechanical Knowledge
- CNC
- Precision Measuring Instruments
- Schematics
- Maintenance
- Hydraulics
- Plastics Injection Molding
- Programmable Logic Controllers
- Manufacturing
- Troubleshooting
