Organization
Eindhoven University of Technology is one of the world's leading research universities (ranked by the Times Higher Education Supplement) and is particularly well known for its joint research with industry (ranked number one worldwide by the Centre for Science and Technology Studies). The Department of Industrial Engineering & Innovation Sciences (IE&IS) of Eindhoven University of Technology is one of the longest-established engineering schools in Europe, with a strong presence in the international research and education community, especially in the fields of Operations Management and Innovation Management, which are at the core of the undergraduate BSc program. The graduate programs (MSc and PhD) in Operations Management & Logistics and Innovation Management attract top-level students from all over the world. Researchers are a member of the Beta research school.

The AI PLANNER OF THE FUTURE program
This ambitious research program is hosted by the TU/e-based Department of Industrial Engineering & Innovation Sciences and is supported by the European Supply Chain Forum, Department of Industrial Engineering & Innovation Sciences, the Eindhoven Artificial Intelligence Systems Institute, and the Logistics Community Brabant. The program connects to the different communities, moonshots strategic agendas and the themes of each of these supporting partners. It combines 25 researchers, 10 PhD students and over 50 Bachelor and Master students, for the coming five years (2021-2026). This AI PLANNER OF THE FUTURE program considers the explicit intertwining of technical and human elements in the context of AI planning for supply chains and logistics, considering all relevant performance indicators (people, profit, and the planet).

The following 10 individual PhD projects are embedded in this program. We are looking for PhD candidates from a broad range of disciplines ranging from operations research and management, supply chain management, statistics, ethics, cognivite psychology, artificial intelligence, etc.

Project 1: Learning about Customers: Demand Implications of Logistics-Related Decision-Making in B2B, Gelper, Mutlu, Langerak  https://jobs.tue.nl/en/vacancy/phd-on-marketingoperations-interface-878156.html

Project 2: Context matters: optimizing shared decision making in real-world forecasting and inventory management, Le Blanc, van de Calseyde, Ulfert  https://jobs.tue.nl/en/vacancy/phd-on-humanai-collaboration-at-work-878192.html

Project 3: AI-Based Replenishment and Order Fulfillment Strategies for Omnichannel Supply Chains, Atan , Schrotenboer, Van Woensel  https://jobs.tue.nl/en/vacancy/phd-on-aibased-replenishment-order-fulfillment-strategies-for-supply-chains-878193.html

Project 4: Robust data-driven sustainable food supply chain, Marandi, Rohmer,
Van Woensel  https://jobs.tue.nl/en/vacancy/phd-in-%E2%80%98datadriven-approaches-towards-robust-and-sustainable-cold-chains%E2%80%99-878195.html

Project 5: Digital Twins: An ingenious AI companion or an evil twin?, Raassens, Schepers, Van Woensel https://jobs.tue.nl/en/vacancy/phd-in-ai-and-digital-twinning-878197.html

Project 6: AI for sustainable last-mile delivery by micromobility: a socio-technical perspective, Behrendt, Alkemade  https://jobs.tue.nl/en/vacancy/ai-for-sustainable-lastmile-delivery-by-micromobility-878198.html

Project 7 (Extra: 0.5 EAISI startup package + 0.5 ESCF): Data-driven Optimization using Digital Twins for Sustainable Last-Mile Delivery, Zhang, Bliek, Van Woensel
https://jobs.tue.nl/en/vacancy/phd-on-datadriven-optimization-for-sustainable-lastmile-delivery-878199.html

Project 8: Online Supply Chain Planning, Dijkman, Van Jaarsveld
https://jobs.tue.nl/en/vacancy/phd-in-information-systems-business-intelligence-878200.html

Project 9: From feared competitor to trusted companion: understanding and enhancing trust in AI over time, Snijder, Rooks, Willemsen  https://jobs.tue.nl/en/vacancy/phd-on-humanai-collaboration-in-the-workplace-trust-in-ai-over-time-878201.html

Project 10: Widening the frame: Rational choice beyond a given utility function, Müller 
https://jobs.tue.nl/en/vacancy/phd-on-%E2%80%9Cimproving-automated-rational-choice-through-metacognition%E2%80%9D-878202.html

These positions are part of the AI Planner of the Future Program, a collaboration between the European Supply Chain Forum (ESCF) and the Eindhoven Artificial Intelligence Systems Institute (EAISI) The PhD candidates will benefit from the strong industry relationships of the supervisory team and both institutes (see www.escf.nl and https://www.tue.nl/en/research/institutes/eindhoven-artificial-intelligence-systems-institute/), which will prove important for access to data as well as practical relevance of the research.

Job description
You, as a successful applicant, will perform the research project in an international team. The research will be concluded with a PhD thesis. A small teaching load is part of the job.

For job requirements, see each individual vacancy.

• A meaningful job in a dynamic and ambitious university with the possibility to present your work at international conferences.
• A full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months.
• To develop your teaching skills, you will spend 10% of your employment on teaching tasks.
• To support you during your PhD and to prepare you for the rest of your career, you will make a Training and Supervision plan and you will have free access to a personal development program for PhD students (PROOF program).
• A gross monthly salary and benefits (such as a pension scheme, pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labor Agreement for Dutch Universities.
• Additionally, an annual holiday allowance of 8% of the yearly salary, plus a year-end allowance of 8.3% of the annual salary.
• Should you come from abroad and comply with certain conditions, you can make use of the so-called '30% facility', which permits you not to pay tax on 30% of your salary.
• A broad package of fringe benefits, including an excellent technical infrastructure, moving expenses, and savings schemes.
• Family-friendly initiatives are in place, such as an international spouse program, and excellent on-campus children day care and sports facilities.