Graduate Student

Call for MSc/PhD students

Subject: Graduate Research Position: Dynamic Optimization in Metrology Capacity Allocation (International Collaboration)

To: Graduate Students in Mathematics, Industrial Engineering, and Computer Science

Applications are invited for a [Master’s/PhD] position focused on the development of dynamic optimization frameworks for high-tech manufacturing.

Research Context

As the cost of inspection tools in high-tech industries skyrockets, effectively allocating scarce metrology capacity has become a critical bottleneck. This research aims to optimize inspection allocation to production machines.

Key Research Pillars:

• Stochastic Modeling: Developing models for non-stationary failure rates dependent on production volume.
• Quality & Reliability: Utilizing Multi-stage Markov Processes to characterize machine health, throughput quality, and stability.
• Hybrid Algorithms: Solving large-scale problems by integrating Dynamic Programming with efficient Lagrangian heuristics.

Qualifications:

• Strong academic record in Operational Research or Applied Mathematics.
• Proficiency in mathematical programming (CPLEX or similar).
• Solid understanding of Stochastic Processes and Combinatorial Optimization.
• Excellent proficiency in written and spoken English.
• High motivation to conduct research in an international, collaborative context.

Financial Support & Location:

• Stipend: A monthly stipend of approximately 6,000 NIS (~1,900 USD) is available. An additional stipend may be offered to students fully dedicated to the research project.
• Location: The candidate will be based at Ariel University, with funded research stays in France.

How to Apply:

Please submit your CV, academic transcripts, and a brief statement of interest to: Dr. Michael Hassoun | [email protected]