Research Fellow (PhD Candidate) (m / f / d) in the Field of Supply Chain Resilience

Technische Universität München (TUM); Heilbronn; Vor Ort; EUR 55.000 - 65.000; Vollzeit

Zusammenfassung

A leading university in Germany is seeking a Research Fellow (PhD Candidate) to support research focused on supply chain resilience. This full-time position offers the opportunity to engage in innovative research projects and pursue a structured doctorate. Ideal candidates will possess an above-average degree in relevant fields, strong knowledge of operations research, and a willingness to learn about machine learning. The role is based at our Heilbronn campus with a supportive and dynamic work environment.

Leistungen

Possibility of structured doctorate

Excellent working atmosphere

Opportunities for national and international cooperation

Access to conferences

Exciting research projects

Qualifikationen

• Candidates should possess an above-average university degree in relevant fields.
• Very good knowledge in (stochastic) operations research is required.
• Strong interest in machine learning or willingness to learn.

Aufgaben

• Support research in supply chain resilience.
• Engage in the application of operations research methods.
• Participate in exciting research projects.

Kenntnisse

Operations research

Machine learning

Programming skills

Research enjoy

Team player

English proficiency

Ausbildung

Above-average university degree

Jobbeschreibung

Technical University Munich

TUM School of Management

Center for Digital Transformation

Professorship for Operations Management

Prof. Dr. G. P. Kiesmüller

Research Fellow (PhD Candidate) (m / f / d) in the Field of Supply Chain Resilience

(Pay Group 13 TV-L, Full Time Position)

The Professorship of Operations Management (Prof. Dr. G. P. Kiesmüller) at the TUM Campus Heilbronn is looking for a research assistant (PhD student) (m / f / d) for a limited period of 36 months and for the next possible date. The possibility of a doctorate is given and desired. The research orientation of the professorship is characterized by the application of operations research methods or machine learning for the analysis and solution of problems in the field of operations management. The research assistant will in particular support research in the field of supply chain resilience.

About Us

The TUM campus in Heilbronn is characterized by innovative approaches and a strong focus on digital transformation. As part of the renowned Technical University of Munich, the TUM School of Management teaches and researches at the interface of management and modern technologies. The TUM School of Management has been awarded the three international accreditations AMBA, AACSB and EQUIS.

We Offer…

• The possibility of a structured doctorate at one of the most renowned universities in Germany
• An excellent working atmosphere in a dynamic and success‑oriented team
• The opportunity for national and international cooperation
• The opportunity to visit national and international conferences
• The chance to experience and shape exciting research projects

We are Looking for Knowledge‑hungry Team Players …

• with above‑average university degrees
• from the fields of business administration, economics, business informatics, industrial engineering, business mathematics, computer science, mathematics
• with very good knowledge in the field of (stochastic) operations research
• with knowledge in the field of machine learning or willing to learn more about it
• with very good knowledge of English
• with software and programming skills
• who enjoy research and teaching

Application

We look forward to receiving your application with relevant documents (cover letter, resume, academic transcripts, internship / work references, if applicable) as a single PDF document by e‑mail, quoting the keyword "Operations Management" to by June 30, 2024. If you have any questions, please contact Ms. Charlotte Koch ().

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. The position can also be filled on a part‑time basis. Employment is on a salaried basis, depending on qualifications, with remuneration in accordance with the collective agreement of the federal states (TV‑L E13).

Data Protection

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 . By submitting your application, you confirm to have read and understood the data protection information provided by TUM. Find out more about us at .