Your Job:
The PhD project is methodologically independent, with the opportunity to contribute to collaborative efforts at the interface of data science, imaging, and materials research. You will strengthen the data science and machine learning activities of the IAS-9 with exciting new topics. You will work in a multidisciplinary team of enthusiastic data scientists, software developers and domain scientists on,
1. Developing self-supervised learning frameworks to extract features from unlabeled high-resolution microscopy data
2. Training and evaluating segmentation models for detecting and characterizing defects such as dislocations
3. Applying generative models (, GANs, diffusion models) to augment microscopy datasets
4. Investigating domain adaptation techniques across different imaging modalities
5. Collaborating closely with experimental partners to validate methods and integrate tools into existing workflows
6. Disseminating findings through scientific publications, international conferences, and open-source enter further tasks of the position
Your Profile:
We are looking for a highly motivated colleague who is excited about new scientific endeavors with interdisciplinary approaches. For this you have:
7. A completed university degree (Master or equivalent) in computer science, data science, applied mathematics, physics, materials science, or a related field
8. Prior experience in computer vision, deep learning, or signal processing; familiarity with microscopy data is an asset but not required
9. Interest in foundational machine learning research with applied impact in scientific imaging
10. Demonstrated proficiency in Python and experience with ML/DL frameworks like PyTorch or TensorFlow
11. Strong analytical and communication skills, creativity, and the ability to work independently while collaborating in a team-oriented environment
Our Offer:
We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We offer ideal conditions for you to complete your doctoral degree:
12. A dynamic, interdisciplinary research environment at the forefront of materials informatics
13. Comprehensive training courses and individual opportunities for personal and professional further development. A structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors:
14. The opportunity to attend national and international conferences
15. Optimal conditions for work-life balance, including a family-friendly corporate policy, flexible working hours, the option for home office days, and 30 vacation days per year
16. A creative work environment at a leading research facility, located on an attractive research campus at the TZA Aachen and the Forschungszentrum Jülich
17. Flexible working hours in a full-time position with the option of slightly reduced working hours ( )
18. Targeted services for international employees, through our International Advisory Service
Neben spannenden Aufgaben und einem kollegialen Miteinander bieten wir Ihnen noch viel mehr:
Place of employment: Jülich/Aachen
The position is for a fixed term of 3 years. Pay in line with 75% of pay group 13 of the Collective Agreement for the Public Service (TVöD-Bund) and additionally 60 % of a monthly salary as special payment („Christmas bonus“). Pay higher than the basic pay may be possible. The monthly salaries in euro can be found on the BMI website: