PhD on AI-Enhanced Strategic Decision-Making

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PhD on AI-Enhanced Strategic Decision-Making

AI-Enhanced Experimental Investigations into Strategic Decision-Making in Inter-Organizational Relationship Setting.

Deadline Published Vacancy ID V39.7109

Academic fields

Engineering

Job types

PhD

Education level

University graduate

Weekly hours

38 hours per week

Location

De Rondom 70, 5612 AP, Eindhoven

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Job description

Are you eager to work on uncovering the cognitive processes that drive strategic decision-making in inter-organizational relationships? Do you have what it takes to be our next PhD candidate in the exciting and evolving field of understanding strategic decision-making in inter-organizational relationship settings? Are you excited about pioneering innovative methodologies that leverage AI and experimental design to reshape our comprehension of human behavior and decision-making in the strategy and innovation field? If so, this PhD project opportunity awaits you, offering a chance to delve into the fascinating realm of strategic decision-making and push the boundaries of our understanding through cutting-edge research techniques.

Job Description

This PhD project will tackle the primary challenge of unraveling the complexities of decision-making behaviors in forming, maintaining, and dissolving inter-organizational relationships. You will be at the forefront of the research group's efforts, contributing to understanding 'the microfoundations of managing and organizing collaborative innovation', where you will collaborate with like-minded experts in the field.

The research project revolves around the pivotal role of inter-organizational relationships within the broader ecosystem of organizations. These relationships significantly influence the strategic decisions managers make, particularly concerning their choices to form or join ecosystems. As organizations operate in a data-rich environment, conventional analytical methods are increasingly challenged. To address this complexity, the study capitalizes on the advancements in computational capabilities, particularly utilizing large language models followed by experimental investigations, ensuring a holistic approach that combines advanced computational techniques with empirical studies. Consequently, candidates with expertise in programming and familiarity with advanced language models will play a vital role in harnessing the potential of big data resources and transforming them into actionable, experimental scenarios. This multifaceted research approach promises to contribute to a deeper understanding of managerial decision-making within inter-organizational relationships and its implications for the contemporary business landscape.

You will be supervised by dr. Maral Mahdad, dr. Arjan Markus, and dr.ir. Bob Walrave, who are part of the ITEM group at Eindhoven University of Technology. The PhD candidate will benefit from the vibrant group of existing PhDs and professors. In addition, the candidate will have the opportunity to join the emerging Hub for Open Innovation, which is currently being established with a mission to foster a stronger synergy between scientific expertise and practitioners.

Requirements

  • A master's degree (or an equivalent university degree) in innovation management, business economics, behavioral economics, strategic management, business analytics, or any related disciplines.
  • Strong expertise in programming, including proficiency in languages commonly used in data analysis and machine learning.
  • Proficiency in data collection, preprocessing, and analysis, with the ability to handle large datasets efficiently.
  • Affinity with experimental design and empirical research methods to investigate inter-organizational relationships and business ecosystems.
  • Knowledge of statistical analysis and data visualization techniques to communicate research findings effectively.
  • Excellent communication skills to collaborate with interdisciplinary teams and convey research findings to diverse stakeholders.
  • Adaptability to address the challenges of working in a data-rich environment and evolving technology landscape.
  • A fearless attitude towards experimentation and innovation to push the boundaries of traditional research methodologies.
  • Fluent in spoken and written English (C1 level).

Conditions of employment

A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
  • Full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months. You will spend 10% of your employment on teaching tasks.
  • Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. €2,770 max. €3,539).
  • A year-end bonus of 8.3% and annual vacation pay of 8%.
  • High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
  • An excellent technical infrastructure, on-campus children's day care and sports facilities.
  • An allowance for commuting, working from home and internet costs.
  • Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.

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