Postdoctoral Research Associate
Advertiser: School of Economics and Finance, Queen Mary University of London
Field(s) of specialization: Econometrics
Position type(s): Postdoctoral Scholar
Location of job: Queen Mary University of London, Mile End Road, Graduate Centre, School of Economics and Finance, London, London, E1 4NS, United Kingdom
Degree required: Doctorate
Job start date: 2027-09-06
Job duration: 2 years
Salary: 39,187 to 52,790 GBP
Letters of reference required: 2
Application deadline: 31 May 2027 midnight UTC (accepting applications)
Posting end date: 31 May 2027
Ad text:

School of Economics and Finance

Post title: Postdoctoral Research Associate

Post ref: 11446

About the Role

The successful candidate will undertake research investigations in collaboration with and under the supervision of Dr Cristina Gualdani in order to realise the objectives and development of the ERC Starting Grant research programme Robust econometrics of games in IO (REGIO). The project develops advanced econometric methods to study firm behaviour and competition in Industrial Organization.

About You

The successful candidate will hold a PhD, or be close to completion, or possess research qualifications and experience equivalent to PhD level in the relevant subject area for the research programme. They will be educated to degree level in a relevant field and have qualifications in participatory research methods, alongside postgraduate training in research methods. They will demonstrate relevant knowledge and experience in econometrics and empirical industrial organization.

The candidate will be experienced in planning and delivering their own work allocation to agreed timescales and quality standards.

About the School

The School of Economics and Finance is a leader in teaching and research at both the national and international level. It has a range of both undergraduate and postgraduate programmes, including programmes that are jointly run with other Schools. The School has over 1000 undergraduate students, and over 500 postgraduate taught students. It offers excellent facilities and resources to enhance learning, including offering training and access to real time trading software to both UG and PGT students.

About Queen Mary

At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable.

Throughout our history, we’ve fostered social justice and improved lives through academic excellence. And we continue to live and breathe this spirit today, not because it’s simply ‘the right thing to do’ but for what it helps us achieve and the intellectual brilliance it delivers.

We continue to embrace diversity of thought and opinion in everything we do, in the belief that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form.

Benefits

We offer competitive salaries, access to a generous pension scheme, 30 days’ leave per annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work-life balance and family-friendly, inclusive employment policies, flexible working arrangements, and campus facilities.

Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We are open to considering applications from candidates wishing to work flexibly.

Application process

To apply for the position, candidates must upload their references, curriculum vitae and job market package on http://www.econjobmarket.org/ and complete the Queen Mary University of London on-line application form on this Link

Application procedure
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Submission materials required
  • Curriculum vitae
  • Job market paper
  • Video presentation of job market paper (optional)
  • Additional paper (optional)
  • Other material (in one file) (optional)
  • Additional paper (optional)
  • Recommenders: 2
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