PhD in Human-AI Interaction, Jointly Supervised by Oxford and TUM

07.11.2024, Wissenschaftliches Personal

We, the Chair of Logistics and Supply Chain Management (TUM), are seeking a highly motivated PhD candidate for a position in Human-AI Interaction and Operations Management (75% TVL-E13), jointly supervised by faculty from University of Oxford and Technical University of Munich (TUM).

Institution: University of Oxford & Technical University of Munich
Supervisors: Dr. Kejia Hu (University of Oxford), Prof. Stefan Minner (TUM), Prof. Gudrun Kiesmüller (TUM)

Project Overview and Responsibilities

We are seeking a highly motivated PhD candidate for a position in Human-AI Interaction and Operations Management, jointly supervised by faculty from University of Oxford and Technical University of Munich (TUM). This project focuses on the integration of AI and human decision-making in operational settings, aiming to enhance performance and optimize decision processes. Collaboration opportunities with industry partners are available, providing a strong mix of academic and industry insights. The candidate will be expected to:

• Apply advanced analytical and AI methods to solve real-world operational challenges.
• Publish in leading journals and present research at conferences.

The PhD program has a duration of three years and with the PhD degree offered by TUM.

Qualifications

• A Master’s degree in Operations Management, Computer Science, Industrial Engineering, Economics, Management Science, Business Analytics, or a related field.
• Strong analytical skills with experience in AI, machine learning, or data analytics.
• Very good English skills in writing and communication
• Proficiency in programming (e.g., Python, R) and related software tools.

What We Offer

• Tuition waived and education at both institutions
• Employment according to 75% TVL-E13 German civil servants pay scale
• Research budget for conference attendance and professional development.
• Opportunities to collaborate with leading industry partners.
• Access to world-class academic resources.

Application Process

Applications will be reviewed on a rolling basis until the position is filled. To apply (before November 15), please submit:

1. One page of personal statement detailing research interests and experience,
2. CV, with contact information for three references, and
3. Transcripts and if available writing samples with relevance to the position.

TUM aims to increase the diversity of its staff substantially. As an equal opportunity and affirmative action employer, TUM explicitly encourages nominations of and applications from women and all others who would bring additional diversity dimensions to the university's research and teaching strategies. The position is suitable for people with disabilities. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.

Start Date: Early 2025

Contact: For more information or to apply, please email to: logistics.log@mgt.tum.de

Data Protection Information: As part of your application for a position at the Technical University of Munich (TUM), you submit personal data. Please note our privacy policy in accordance with Art. 13 General Data Protection Regulation (DSGVO) http://go.tum.de/554159 for the collection and processing of personal data in the context of your application. By submitting your application, you confirm that you have read the data protection notices of TUM.

Kontakt: logistics.log@mgt.tum.de