Job
- Level
- Experienced
- Location
- Jülich
- Working Model
- Onsite
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Temporary employment
Job Summary
In this role, you will develop AI-driven software solutions for analyzing microscopy data, optimize real-time analysis pipelines, and implement algorithms for autonomous experiments.
Job Technologies
Your role in the team
- Develop machine-learning-based workflows and scientific software for segmentation, species classification, and lineage tracking in multi-species time-lapse microscopy data.
- Optimize models and analysis pipelines for real-time performance, enabling adaptive imaging and feedback control.
- Design active-learning and retraining strategies to robustly generalize to new microbial communities.
- Develop event-driven algorithms and software components for autonomous experiment control and adaptive image acquisition.
- Build scalable, maintainable, and open-source software for high-throughput image analysis and laboratory automation.
- You will present your results at international conferences, publish in leading peer-reviewed journals, and contribute to the supervision and training of students within the consortium.
This text has been machine translated. Show original
Our expectations of you
Qualifications
- Excellent Master's degree in Computer Science, Engineering, Biophysics, Applied Mathematics, Computational Biology, or a related discipline.
- Strong background in machine learning for image analysis and computer vision, ideally involving microscopy, time-lapse imaging, or other high-dimensional scientific imaging modalities.
- Strong mathematical and statistical background, combined with excellent analytical and problem-solving skills.
- Excellent communication and collaboration skills, with enthusiasm for working in an international and highly interdisciplinary research environment.
- A demonstrated research track record through publications, open-source software contributions, internships, thesis projects, or comparable scientific achievements.
- Excellent command of English; knowledge of German is an advantage but not required.
Experience
- Proven programming expertise in Python (scientific Python, PyTorch) with solid experience in scientific computing, reproducible software development, and modern software engineering practices; familiarity with C++, Linux, and high-performance computing is an advantage.
- Experience in one or more of the following areas: object detection and segmentation, multi-object tracking, time-series analysis, probabilistic modeling and uncertainty quantification, real-time or streaming data processing, or multimodal learning.
- Interest in developing AI methods at the interface of biology, robotics, and laboratory automation, with enthusiasm for collaborating closely with experimental scientists. Prior wet-lab experience is welcome but not required.
This text has been machine translated. Show original
What we offer
- We work on highly topical, socially relevant issues and offer you the opportunity to actively shape change!
- You can expect a wide range of opportunities:
- An exciting, interdisciplinary research environment at the interface of AI, imaging, microbiome research, and laboratory automation within a Helmholtz-wide collaboration.
- Access to state-of-the-art live-cell imaging, microfluidics, laboratory automation, and GPU computing infrastructure.
- The opportunity to develop AI methods and scientific software that are directly deployed on cutting-edge experimental platforms.
- You will receive 30 days of vacation plus additional days off (e.g., between Christmas and New Year's).
- Your professional development is important to us - we provide targeted, individual support.
- Your health is important to us. You can look forward to a comprehensive occupational health management program with a wide range of offerings - e.g., a beach volleyball court, running groups, yoga classes, and much more.
- In addition, our company medical service and an experienced social counseling team are available to assist you on site.
- It is important to us that you quickly settle into the team and are given structured training for your tasks.
- We also support you from the very beginning and make your start easier with our Welcome Days and Welcome Guide.
- Our research campus in the countryside creates ideal conditions for collegial exchange and sporting activities right on site.
- Our cafeteria offers a wide range of options—you can enjoy a relaxing lunch break with a lake view.
- Our International Advisory Service makes it easier for international employees to get started.
- You will receive explicit support regarding your career development opportunities.
- We offer a fixed-term contract in an exciting and varied role within an international, interdisciplinary working environment.
- Salary and social benefits conform to the provisions of the Collective Agreement for the Public Service (TVöD-Bund), pay group E13.
This text has been machine translated. Show original
Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
Forschungszentrum Jülich GmbH
Forschungszentrum Jülich is a member of the Helmholtz-Gemeinschaft, making it an effective contributor to solving big challenges our society faces in the realms of information technology, energy, and bioeconomics.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Education System, Science, Research
Postdoctoral Researcher / AI & Scientific Software Engineer
- Location
- Jülich
- Working Model
- Onsite
- Diversity
- Open for all genders
