PhD Position Fidelity Multi-Instance Modeling of Symbioses: 3D+t Reconstruction o

Organisation/Company Forschungszentrum Jülich Research Field All Researcher Profile First Stage Researcher (R1) Final date to receive applications 19 Jan 2038 - 03:14 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure?

No

Area of research:

PHD Thesis

Your Job:

We are looking for a PhD student in machine learning to work within a project linked to the “Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE)”.

• Develop 3D+t image reconstruction methods in a cell microscopy setting using image sequences as well as focus stacks
• Investigate instance and panoptic segmentation for endosymbionts and track them over time
• Implement, train and test novel machine‑learning‑based solutions on top‑tier super‑computing hardware
• Work in an interdisciplinary team of engineers, computer scientists, and life scientists
• Regularly participate in international conferences to present your own work, and learn about state‑of‑the‑art machine learning and computer vision methods and their applications

Your Profile:

• Excellent Master’s degree in engineering, computer science or mathematics (or a related field), with a focus on computer vision, image processing, or machine learning
• Solid mathematical and physics background, distinct analytical skills
• Very good programming (Python, C++) and computer (Linux, Windows) skills
• Excellent cooperation and communication skills
• You enjoy to work within a diverse team in an international and interdisciplinary environment
• Very good English, both spoken and written. German language skills are not necessary but a plus
• High motivation and work ethics
• No prior biological experience is required, but curiosity about biological questions, collaborating closely with experimentalists, and working with real‑world data
• You share our passion for teaching computers how to see, preferably have done some previous research in this field (e.g., internships, research papers, etc.), and want to make an impact in a societally relevant application

In your application, please include a statement of research interest, CV, copies of exams, degrees and grades (transcript of records), a copy of your Master thesis (or a draft thereof), published articles or other relevant material such as letter(s) of recommendation (if applicable).

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! This HDS-LEE PhD position will be located at Forschungszentrum Jülich with strong links to RWTH Aachen. We offer ideal conditions for you to complete your doctoral degree:

• Outstanding scientific and technical infrastructures
• Working in an international and interdisciplinary environment at one of Europe’s largest research institutes
• Continuous scientific mentoring by your scientific advisors and opportunity to mentor students
• Unique HDS-LEE graduate school program (including data science courses, soft skill courses and annual retreats):
• A qualification that is highly valued in industry
• 30 days of annual leave and flexible working arrangements, including partial remote work
• Further development of your personal strengths, e.g. via a comprehensive training program; a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors:
• Targeted services for international employees, e.g. through our International Advisory Service

The position is limited to three years, with a possible one-year extension. Pay is 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’). The monthly salaries in euro can be found on the BMI website:

Further information on doctoral degrees at Forschungszentrum Jülich (including its various branch offices) is available at

We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender,…