Publisher
source

Forschungszentrum Jülich

Just Landed

PostDoc / Staff Scientist in Machine Learning for Scientific Applications Forschungszentrum Jülich in Germany

Degree Level

Postdoc

Field of study

Computer Science

Funding

Paid staff scientist/postdoc position classified at EG 13 TVöD-Bund. The contract is limited to 2 years with the possibility of extension. Salary follows the public service collective agreement and includes additional benefits such as a year-end bonus and pension contributions.

Country flag

Country

Germany

University

Forschungszentrum Jülich

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

Apply for this position

Keywords

Computer Science
Biomedical Engineering
Information Technology
Deep Learning
Biology
Mathematics
Artificial Intelligence
Image Processing
Computer Vision
Uncertainty Analysis
Neuropsychology
Robustness Analysis
High Performance Computing
Explainability
Physics
ML

Suggested positions

About this position

Forschungszentrum Jülich is advertising a PostDoc / Staff Scientist position in Machine Learning for Scientific Applications at the Institute for Advanced Simulation – Data Analytics and Machine Learning (IAS-8).

The role focuses on computer vision, machine learning, deep learning, image processing, and scientific AI for applications such as remote sensing, microscopy, plant sciences, health-care, MRI imaging, and other neuro- or bio-science-inspired problems. The team also works on uncertainty quantification, robustness, reliability, trustworthiness, and explainability of AI models, as well as foundation models and efficient training on high-performance computers such as JUPITER at the Jülich Supercomputing Centre.

Applicants should have a Master's degree followed by a PhD in computer science or a related field, strong experience in ML methods for vision/imaging or physics-informed reconstruction, a strong publication record, solid mathematical and programming skills, and excellent English (at least B2; German is optional but appreciated).

The position is paid and classified at EG 13 TVöD-Bund, with a 2-year contract and possible extension. Benefits include public-service salary conditions, a year-end bonus, pension contributions, training, and support for international staff.

Location: Jülich, Germany. Application: apply online via the career portal as soon as possible; the vacancy remains open until filled. Submit a research statement, CV, degree/exam records, publication/talk list, reference letters, and other relevant documents.

Funding details

Paid staff scientist/postdoc position classified at EG 13 TVöD-Bund. The contract is limited to 2 years with the possibility of extension. Salary follows the public service collective agreement and includes additional benefits such as a year-end bonus and pension contributions.

What's required

Master's degree followed by a PhD in computer science or a related field. Applicants should have rich experience in devising machine learning models, methods, and algorithms for computer vision, image processing, imaging, and/or physics-informed reconstruction, plus a strong scientific publication record at internationally renowned machine learning venues. A solid mathematical background, distinct analytical and numerical skills, strong programming skills in Python and C++, excellent teamwork and interdisciplinary collaboration ability, very good communication skills, and very good written and spoken English at least at B2 level are required. German is not mandatory but is appreciated.

How to apply

Apply online as soon as possible through the career portal. Include a statement of research interests, CV, list of exams/degrees/grades, list of publications and talks, reference letters, and other relevant material.

More information can be found here

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?