Post Doctoral Research Associate In The Economics Of Technological Change

University Of Oxford; Oxford; On-site; GBP 35,000 - 48,000; Full time

Benefits offered by this job

38 days annual leave

Excellent contributory pension scheme

Childcare services

Family leave schemes

Cycle loan scheme

Discounted bus travel

Job summary

University Of Oxford seeks a researcher holding a PhD/DPhil or near completion in a relevant discipline, with strong quantitative and statistical skills, programming experience, and knowledge of complex systems science and forecasting techniques.

The successful candidate will join INET's Complexity Economics group and an Oxford Martin Fellow, contributing to forecasting developments in clean technologies and AI.

Qualifications

• PhD/DPhil in a relevant discipline or near completion.
• Strong quantitative and statistical skills with programming experience.
• Knowledge of complex systems science and/or advanced forecasting techniques.
• Understanding of the economics of innovation, net zero tech, and AI.
• Experience with large language models.
• Publications in leading journals; excellent communication and research management.

Responsibilities

• Join INET's Complexity Economics group and Oxford Martin Fellow.
• Advance quantitative research on technological change and forecasting.
• Contribute to research on the future of technological development.

Skills

Quantitative skills

Statistical analysis

Programming experience

Complex systems

Forecasting methods

Economics of innovation

AI understanding

Large language models

Research management

Publications experience

Education

PhD or near completion

Job description

We are seeking

a candidate who holds a PhD/DPhil or be close to completion in a relevant discipline, with strong quantitative and statistical skills, programming experience, and knowledge of complex systems science and/or advanced forecasting techniques. You should have an understanding of the economics of innovation, net zero technologies and/or artificial intelligence, including experience with sophisticated applications of large language models. Previous contributions to publications in leading academic journals, excellent communication skills and the ability to manage research activities are essential. The successful candidate will join an interdisciplinary research environment as both a member of INET's Complexity Economics research group and an Oxford Martin Fellow, with opportunities to contribute to research on the future of technological development. This position offers an opportunity to advance quantitative research on technological change and contribute to new approaches for forecasting developments in clean technologies and artificial intelligence. This post is offered on a full time, fixed-term basis for 2 years from start date.

What We Offer

As an employer, we genuinely care about our employees’ well-being, and this is reflected in the range of benefits that we offer including:

• An excellent contributory pension scheme
• 38 days annual leave
• A comprehensive range of childcare services
• Family leave schemes
• Cycle loan scheme
• Discounted bus travel and Season Ticket travel loans.