PhD-position (m/w/d) – Computer Vision for In Situ Electron Microscopy

Your Job:

You will strengthen the data science and machine learning activities of the IAS-9 with exciting new topics. You will work with a multidisciplinary team of enthusiastic data scientists, software developers and domain scientists on, e.g.,

• Developing deep learning-assisted methods for in situ electron microscopy with enhanced time resolution using adaptive scanning
  
• Contributing to the development of self-supervised and unsupervised learning techniques for resolution enhancement, denoising, and representation learning of electron microscopy images
  
• Implementing supervised learning methods for the accurate detection and segmentation of dislocations in annotated electron microscopy images
  
• Utilizing diffusion models to generate synthetic TEM images, providing training data for segmentation, denoising and super resolution
  
• Collaborating on the development of domain adaptation methods for transferring learned representations to different experimental setups
  
• Designing and implementing active learning strategies to minimize the number of annotated images required for model training
  
• Working in close collaboration with the research team to enable real-time feature tracking with adaptive scanning during electron microscopy experiments
  
• Preparing scientific publications and participating in international conferences and workshops

Your Profile:

We are looking for a highly motivated colleague who is excited about new scientific endeavors with interdisciplinary approaches. For this you have:

• A completed university degree (Master or equivalent) in data science, computer science, mathematics, materials science, physics, engineering or a related subject
  
• Practical experience in the area of data analysis, data mining and ML/DL demonstrated through, e.g., a thesis, publications in peer-reviewed journals or open source projects
  
• Prior experience in computer vision, image analysis, or machine learning
  
• Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow or PyTorch
  
• Prior knowledge and experience in (electron) microscopy is highly desirable
  
• Excellent communication skills and commitment to work as part of a team

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:

• The opportunity to conduct exciting research in an international and multidisciplinary environment with outstanding infrastructure and to strengthen your reputation in a dynamic and highly active research field
  
• Outstanding scientific and technical infrastructure
  
• A creative work environment at a leading research facility, located on an attractive research campus at the TZA Aachen https://go.fzj.de/TZA and the Forschungszentrum Jülich
  
• The opportunity to attend national and international conferences
  
• Further development of your personal strengths, e.g. through an extensive range of training courses; a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors: https://www.fz-juelich.de/en/judocs
  
• Flexible working hours in a full-time position with the option of slightly reduced working hours and flexible work arrangements, e.g. working from home
  
• Ideal conditions for balancing work and private life, as well as a family-friendly corporate policy
  
• Targeted services for international employees, e.g. through our International Advisory Service
  
• 30 days of annual leave and provision for days off between public holidays and weekends (e.g. between Christmas and New Year)
  

In addition to exciting tasks and the collaborative working atmosphere at Jülich, we have a lot more to offer (https://www.fz-juelich.de/en/careers/julich-as-an-employer/benefits).

To apply, please submit a complete CV, letter of motivation, university degree records and certificates.

The position is initially for a fixed term of 3 years but with the prospect of longer-term employment. The salary is in line with pay group 13 (75 %) of the Collective Agreement for the Public Service (TVöD-Bund). In addition, an annual special payment is granted (“Christmas payment”), which amounts to 60 % of the monthly salary. Further information on doctoral degrees at Forschungszentrum Jülich (including its various branch offices) is available at https://www.fz-juelich.de/en/careers/phd.

We particularly welcome applications from people from a diverse range of backgrounds (e.g. regardless of age, gender, disabilities, sexual orientation/identity, as well as social, ethnic, and religious background). We strive to offer a diverse and inclusive working environment in which people enjoy equal opportunities and are able to fulfill their potential.