Workshops, Summer Schools & Events

PhD Summer Academy at Zaragoza Logistics Center (Spain), June 1-11

📍Zaragoza Logistics Center (ZLC), a higher-education institution affiliated with the Massachusetts Institute of Technology (MIT) and the University of Zaragoza (Spain) is organizing an intensive two-week program designed for PhD students and young researchers in Logistics, Supply Chain Management, Operations Research, Industrial Engineering, Management Science, AI, Statistics, and Data-driven Decision Making.

From June 1-11, 2026, in Zaragoza, Spain, the PhD Summer Academy will offer an exceptional opportunity to advance doctoral research with rigorous, state-of-the-art methodologies and engage with world-class faculty.

Participants will delve into cutting-edge topics presented by leading experts:

  • Freight Transport and Distribution: Concepts and Optimization Models (Tolga Bektaş, University of Liverpool, UK)
  • Data-driven Optimization (Stefan Minner, Technical University of Munich, Germany)
  • Supply Chain Network Design Problems: Recent Approaches and Emerging Trends (Teresa Melo, Saarland University of Applied Sciences, Germany)
  • Humanitarian and Emergency Response Logistics (Ozlem Ergun, Northeastern University, USA)

Details about the program and the application process are available HERE.

NATCOR Course on Convex Optimization — NATCOR Course on Optimization Under Uncertainty, Edinburgh UK.

📍 Two courses will take place in Edinburgh:

  • NATCOR Course on Convex Optimization, 8-12 June 2026.
  • NATCOR Course on Optimization Under Uncertainty, 15-19 June 2026.

The courses are aimed mostly at (but not restricted to) Ph.D. students doing research in operational research and related areas (business analytics, engineering, computer science). Both courses will start with an introduction to the topic, moving on to more advanced state-of-the-art concepts and with an important emphasis on applications. Being full-week courses which include several social activities, it is a great opportunity to network with peer Ph.D. students and with the teaching team, consisting of world-leading experts on the area.

Teaching teams are:

Convex Optimization:

  • Miguel Anjos (University of Edinburgh, UK)
  • Julian Hall (HIGHS/University of Edinburgh, UK)
  • Tamás Terlaky (Lehigh University, USA)
  • Margherita Porcelli (University of Florence, Italy)
  • Alper Yildirim (University of Edinburgh, UK)
  • Filippo Zanetti (HIGHS/University of Edinburgh, UK).

Optimization Under Uncertainty:

  • Kerem Akartunali (University of Strathclyde, UK)
  • Merve Bodur (University of Edinburgh, UK)
  • Vinh Doan (University of Warwick, UK)
  • Nalan Gulpinar (Durham University, UK)
  • Francesca Maggioni (University of Bergamo, Italy).

Note that, very conveniently, the courses are back-to-back, and the Convex Optimization course follows the SIAM Conference on Optimization, also held in Edinburgh from June 2 to June 5. More details on the courses and registration, including the course schedule and topics covered, can be found in the following 🔗.

Since capacity is limited, early registration is strongly encouraged.

PhD School on Robust Optimization (ROSCHOOL26)

The second call is now open for the PhD School on Robust Optimization, taking place at IGESA in Porquerolles, France, from September 7–11, 2026.

The school will cover:

  • Static robust optimization
  • Adjustable robust optimization
  • Combinatorial robust optimization
  • Distributionally robust optimization

📍 Location: IGESA, Porquerolles
🔗 Website: https://ro2026.sciencesconf.org/?lang=en

Cost: Approximately €800 (4 nights, Monday–Friday, all inclusive).

How to Apply

Send your CV to poss@lirmm.fr
Subject line: Application to ROSCHOOL26
Deadline: March 15

Your CV should include:

  • A description of your thesis topic and current research
  • A list of optimization courses taken (Bachelor’s, Master’s, and/or PhD level)

M.Sc. Positions

More information coming soon.


Ph.D. Positions

📢 Amsterdam Business School – University of Amsterdam

The Amsterdam Business School is seeking a highly motivated PhD candidate in Operations Research to develop innovative optimization methods for improving tax systems in the Netherlands and internationally.

This project aims to contribute to transparent, effective, and socially impactful fiscal optimization.

Research environment highlights:

  • Vibrant academic community in Amsterdam
  • Possibility of research visits to MIT and LBS
  • Societally relevant research impact

🔗 Full position description:
https://werkenbij.uva.nl/en/vacancies/phd-position-in-operations-research-innovative-mathematical-methods-for-tax-system-optimization-netherlands-14851

For questions, contact:
Dick den Hertog – D.denHertog@uva.nl


Postdoctoral Positions

📢 1-Year Position, Universitat Pompeu Fabra (UPF), Barcelona, Spain

🔗 Full details here
🔗 Application form: here

Project Overview

The position is funded by the research project:

“Fairness and Social Well-Being in Optimisation Models”

The project focuses on incorporating ethical considerations into mathematical optimization models, particularly in:

  • Public budget allocation
  • Labour organization and service industry optimization

Two main research lines:

  1. Fairness in public resource allocation
  2. Workers’ well-being in service optimization models

The researcher will join the Statistics, Probability and Machine Learning research group at UPF.
Principal Investigator: Alberto Santini, Associate Professor of Operational Research.


Requirements

Applicants should hold a PhD in:

  • Operational Research
  • Computer Science
  • Mathematics
  • Computer Engineering
  • Economics
  • Or a closely related field

Strong candidates will have expertise in at least one of:

  • Rostering and scheduling
  • Column generation and exact methods
  • Multi-objective optimization
  • Bi-level programming
  • Stackelberg games

What We Offer

  • 12-month research contract
  • Minimum salary: approximately €31,200 per year
  • No teaching or administrative duties (teaching possible upon request, paid separately)
  • Dedicated research funding (conferences, research visits)
  • Career development seminars and soft-skills training
  • Comprehensive language-learning program

Timeline

  • Application deadline: March 27
  • Applications reviewed on a rolling basis
  • Interviews scheduled continuously
  • Contract start date: mutually agreed in 2026

Please include:

  • CV
  • One recommendation letter

Tenure-Track Positions

Position in Operations Research and AI at TU Munich

🔗 Full details here.


Industry Positions

More information coming soon.