Apply now: PhD positions in Focus Area AdONE

The Focus Area “Advanced Optimization in a Networked Economy” (AdONE), jointly hosted by the TUM School of Management, TUM Department of Informatics, and TUM Department of Mathematics, offers several positions for PhD students starting in September 2020.


About AdONE

The challenges of a networked economy are fundamental and necessitate new research at the intersection of management science, computer science, and mathematics. New computational techniques are needed to solve large-scale optimization problems and to handle large data sets; incentive structures have to be considered in situations with multiple decision makers; uncertainties and other dynamics in the parameters of resource allocation problems require new modeling tools and solution strategies. The research program focuses on important application-oriented projects that would benefit from an interdisciplinary approach, including shared mobility, resource pooling, retail coordination, sales and operations planning, IT management, and airport operations. See also the AdONE website.

We offer

Students with a background in applied mathematics, computer science, industrial engineering, operations management, operations research, or a related field and a strong interest in interdisciplinary work will be offered a comprehensive study, training, and research program. Custom-made PhD projects will help to develop the ability to model, analyze, solve, and implement solutions for challenging real-world problems. A description of some projects, participating researchers, and further information regarding the application process is available at the AdONE website
TUM strives to raise the proportion of women in its workforce and explicitly encourages applications from qualified women. Applications from disabled persons with essentially the same qualifications will be given preference.

Your qualifications

We expect a degree in Management, Economics, Industrial Engineering, Computer Science, Mathematics or a related field and experience with Operations Research methods. Further, excellent written and verbal communication skills in English are required.

Application process

Applications in English should include

  • Cover letter
  • CV
  • Copies of earned university degrees and transcripts of individual grades
  • Writing sample (master thesis or seminar paper)
  • Research proposal (about 2 pages) motivating your specific interest in “Advanced Optimization in the Networked Economy”
  • One letter of recommendation and the names and e-mail addresses of two further referees (university professors)

and be submitted in digital form (one pdf document) to adone@tum.de by January 6th, 2020. For the written application, we request to submit only copies of official documents, as we cannot return materials after completion of the application process.
As part of your application, you provide personal data to the Technical University of Munich (TUM). Please view our privacy policy on collecting and processing personal data in the course of the application process pursuant to Art. 13 of the General Data Protection Regulation of the European Union (GDPR) at portal.mytum.de/kompass/datenschutz/Bewerbung/. By submitting your application you confirm to have read and understood the data protection information provided by TUM.