Postdoctoral Researcher –(FNR Grant): We are seeking a highly motivated postdoctoral researcher to collaborate on an FNR-funded Industrial Fellowship proposal in partnership with Université de Lorraine. The selected candidate will contribute to the development of AI/ML models for autonomous anomaly detection in scientific instrumentation, ensuring reliable data acquisition in microgravity environments.
Postdoctoral Researcher – Autonomous Anomaly Detection for Microgravity Biotech Payloads (FNR Grant)
Designation:
Postdoctoral Researcher
Research Area:
Autonomous Anomaly Detection, AI/ML, Computer Vision, Embedded Systems, Scientific Instrumentation
Location:
Université de Lorraine (in collaboration with ExoBiosphere)
Eligibility/Qualification:
- PhD in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, or a related field.
- Expertise in computer vision, AI/ML for data processing, and embedded systems.
- Hands-on research experience in real-time data validation, anomaly detection, or similar fields.
- Strong scientific publication record in relevant domains.
- Project management skills and the ability to lead applied research efforts.
- Experience with data analysis of biological samples is a plus.
Job Description:
The selected candidate will:
- Collaborate on research proposal development for submission to FNR.
- Develop and implement computer vision and ML-based anomaly detection algorithms for scientific measurements.
- Work with embedded systems to enable real-time decision-making and adaptive strategies.
- Analyze data from advanced biotech instrumentation, ensuring measurement integrity.
- Contribute to the advancement of AI-driven automation in scientific research.
How to Apply:
If you are passionate about AI-driven automation in scientific research, we encourage you to apply or inquire about this opportunity. Please reach out via email at hr@exobiosphere.com.
Last Date to Apply:
(Please specify the deadline based on proposal submission timelines).
