×
Register Here to Apply for Jobs or Post Jobs. X

Scientist​/Postdoc – Smart Vision- Control of Microbial Arenas

Job in Germany, Pike County, Ohio, USA
Listing for: Euraxess
Full Time position
Listed on 2026-01-22
Job specializations:
  • Research/Development
    Research Scientist, Data Scientist
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Scientist / Postdoc – Smart Vision-Based Control of Microbial Arenas
Location: Germany

Organisation/Company Forschungszentrum Jülich Research Field All Researcher Profile Recognised Researcher (R2) Established Researcher (R3) 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

Offer Description

IBG-1 - Biotechnologie

Area of research:

Scientific / postdoctoral posts

Your Job:

In the Vi(MA)²C project, we are building a lab-on-chip system where structured “microbial arenas” are created and manipulated in real time. Microbes and tailor-made microgels are observed and moved by laser-based optical tweezers in a closed action–perception loop. Your work will help transform current observation-only live-cell imaging microscopy into actively controllable, automated vision-based platforms. You will work at Forschungszentrum Jülich, in close collaboration with bioimage analysis partners at Karlsruhe Institute of Technology.

Tasks

in detail:
  • Develop and extend deep-learning–based segmentation, classification and tracking for microbes and microgels in phase-contrast and fluorescence images
  • Optimise these models and pipelines for real-time performance and integrate them into an action–perception loop that drives the optical tweezers
  • Use and further develop simulation tools to design and benchmark control strategies before deploying them on the microscope
  • Integrate your software with the microfluidic live-cell imaging platform and provide Python/Jupyter-based tools for collaborators, contributing to FAIR datasets and open-source software
  • (Co-)Supervise student projects at BSc, MSc, and PhD level
  • Write research articles, as well as grant proposals, and present your own work at international conferences
Your Profile:
  • Master / Diploma and excellent PhD in computer science, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field
  • Strong background in deep learning for image analysis / computer vision, ideally on microscopy time-lapse data
  • Proven programming expertise in Python (scientific Python, PyTorch or similar); experience with C++ and Linux environments is an advantage
  • Experience in at least one of the following is highly welcome:
    • Real-time or streaming pipelines
    • Control / robotics / feedback systems
    • Optical systems / optical tweezers / laser-based manipulation
    • Software in the loop (SiL)
  • Strong mathematical / statistical skills and pronounced analytical problem-solving abilities
  • Curiosity for microbial life science questions and enthusiasm for working closely with experimentalists (no wet-lab experience required)
  • Excellent communication skills and enjoyment of working in an agile, international and interdisciplinary team
  • Very good English skills;
    German is a plus but not mandatory
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 support you in your work with:

  • ENVIRONMENT: A world-leading, interdisciplinary and international research environment at the interface of AI, microscopy and life sciences in a high-visibility Helmholtz Imaging project
  • INFRASTRUCTURE:
    State-of-the-art experimental equipment, support from experienced PIs, and versatile opportunities to grow as a curious researcher
  • KNOWLEDGE & FURTHER TRAINING:
    Comprehensive training offers and individual opportunities for personal and professional development
  • WORK-LIFE BALANCE:
    Very good conditions for work-life balance and a family-friendly corporate policy
  • FLEXIBILITY:
    Flexible working hours and the possibility to partly work remotely from home
  • VACATION & WORKING TIME MODEL:
    Full-time position, with the option of slightly reduced working hours, and 30 days of annual leave
  • SUPPORT:
    Targeted services for international employees, e.g. through our International Advisory Service
  • CAREER PERSPECTIVE:
    Exploration and preparation of next career opportunities supported by our Career Center & Postdoc Office (  )

In addition to exciting tasks and a collegial working environment, we offer you much more:

We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation / identity, and social, ethnic and religious origin. A diverse and inclusive working environment with equal opportunities in which everyone can realize their potential is important to us.

The following links provide further information on diversity and equal opportunities:  and on specific support options for women:

This research center is part of the Helmholtz Association of German Research Centers. With more than 42,000 employees and an annual budget of over € 5 billion, the Helmholtz Association is Germany's largest scientific organisation.

#J-18808-Ljbffr
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)

Job Posting Language
Employment Category
Education (minimum level)
Filters
Education Level
Experience Level (years)
Posted in last:
Salary