Pre-Doctoral Research Fellow Opportunity at University of Oxford (Remote, Part-Time)

The Pre-Doctoral Research Fellow opportunity for candidates interested in advancing their expertise in Human-AI Interaction (HAI), Empirical Operations Management, and Machine Learning applications in business, is open by the University of Oxford, through its Saïd Business School. This position is designed for individuals aiming to pursue a PhD in the next one to two years, serving as a specialized pathway into Professor Kejia Hu’s doctoral research group.

Advance Your AI and Business Research Career

The Pre-Doctoral Research Fellow role provides a unique opportunity to work remotely with leading Oxford scholars on high-impact research. Fellows will contribute to projects at the intersection of AI, machine learning, and business decision-making, gaining experience with cutting-edge technologies such as large language models (LLMs) like GPT. This position also offers an avenue to strengthen your academic profile, including strong reference letters for PhD and Master’s applications, while participating in a flexible, remote work environment.

Eligibility Criteria

Candidates for this Pre-Doctoral Research Fellow position should meet the following requirements:

• Educational Background: Strong foundation in Mathematics, Statistics, Computer Science, or Economics.
• Technical Skills: Proficiency in Python or R for statistical programming, and knowledge of econometrics.
• AI/ML Experience: Hands-on experience with large language models (GPT) and machine learning techniquesis highly desirable.
• PhD Aspirations: Preference will be given to candidates planning to apply for a PhD within the next 1-2 years.
• Commitment: Availability to work part-time until June 30, 2026.
• Communication Skills: Strong oral and written communication abilities are essential.

This role is open globally for qualified candidates due to its remote work flexibility.

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Program Details

The Pre-Doctoral Research Fellow position involves:

• Start Date: Immediate, as soon as a suitable candidate is found.
• Duration: Part-time until June 30, 2026, with potential for extension based on performance.
• Structure: Remote, flexible working hours; collaboration with a multidisciplinary research team.
• Key Responsibilities:
  • Conduct empirical research and develop advanced forecasting algorithms using statistical and machine learning methods.
  • Draft and contribute to academic publications and technical reports for both scholarly journals and industry partners.
  • Lead and participate in AI-focused research projects, with particular emphasis on LLMs for business applications.
  • Collaborate with researchers, practitioners, and students to achieve project objectives.

How to Apply

Interested candidates should submit the following documents to lixiang4016@gmail.com:

1. Curriculum Vitae (CV)
2. Academic Transcript

Applications are reviewed on a rolling basis, so early submission is strongly encouraged. Ensure that your materials highlight your quantitative expertise, experience with AI/ML, and PhD aspirations.

Important Deadlines

• Rolling Applications: Apply as soon as possible to maximize your chance of consideration.
• End Date of Program: June 30, 2026

Why Join the University of Oxford Research Team?

Joining Professor Kejia Hu’s team at Saïd Business School offers unparalleled opportunities to:

• Conduct cutting-edge AI and business research with Oxford faculty.
• Strengthen your PhD or graduate school applications with strong reference letters.
• Participate in innovative projects using advanced machine learning techniques and LLMs.
• Collaborate in a flexible remote work environment with global researchers.

This fellowship serves as a gateway to a career in AI research, operations management, and business analytics, preparing candidates for both academic and industry roles.

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Pre-Doctoral Research Fellow at University of Oxford

Email Application

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