Overview
This is an exciting opportunity for a postdoctoral researcher in the field of machine learning and artificial intelligence, focusing on intelligent process monitoring. The position is offered in collaboration with Philips and the University of Groningen in the Netherlands, emphasizing the application of advanced ML techniques in industrial settings.
Background & Relevance
The field of intelligent process monitoring is crucial for enhancing production efficiency and quality control in manufacturing environments. As industries increasingly rely on automation and smart technologies, the ability to detect anomalies and optimize processes becomes essential. This role aims to address challenges in production lines, where deviations can arise from various factors, including material inconsistencies and operational fatigue. By leveraging expert-informed machine learning methods, this research seeks to improve proactive quality management and operational reliability.
Key Details
- Position: Postdoctoral researcher in ML/AI-based intelligent process monitoring
- Location: University of Groningen, Netherlands
- Collaboration: Philips
- Funding: PPS-I Flex High Tech project “ManufActuring contRol Sonicare (MARS)”
- Closing Date: September 15, 2025
- Start Date: January 1, 2026
- Duration: 21 months (full-time) or 24 months (part-time)
- Salary: Gross salary of €4,060
- Focus Areas: Expert-informed ML and AI modeling for advanced production process monitoring
- Supervisors: Prof. Kerstin Bunte and Prof. Jan Post
- International Candidates: Welcome, with English proficiency required
- More Information: University of Groningen Job Posting
Eligibility & Participation
Candidates should possess a PhD in computer science, applied mathematics, engineering, or related fields. A strong interest in machine learning, dynamic systems, applied mathematics, or Bayesian methods is essential. Proficiency in English is required, while knowledge of Dutch is not necessary. This position is suitable for individuals eager to engage in interdisciplinary research at the intersection of engineering and AI.
Submission or Application Guidelines
Interested applicants should follow these steps to apply:
1. Visit the job posting link provided above.
2. Review the detailed requirements and responsibilities.
3. Prepare your application materials, including your CV and cover letter.
4. Submit your application before the deadline of September 15, 2025.
More Information
The University of Groningen, established in 1614, is renowned for its commitment to high-quality education and research. It ranks among the top research universities in Europe and globally, attracting over 34,000 students and researchers. This postdoctoral position represents a unique chance to contribute to significant advancements in machine learning applications within an industrial context, particularly in anomaly detection and process optimization.
Conclusion
This postdoctoral opportunity at the University of Groningen offers a platform for researchers to apply their expertise in machine learning and AI to real-world industrial challenges. Interested candidates are encouraged to explore this position and consider applying to be part of a dynamic research team focused on innovative solutions in process monitoring.
Category: PhD & Postdoc Positions
Tags: ml, ai, postdoc, university-of-groningen, process-monitoring, anomaly-detection, machine-learning, engineering, applied-mathematics, bayesian-methods, industrial-research, interdisciplinary
