Postdoctoral in Network Data Science: Imperial College London invites applications for a full-time, fixed-term Postdoctoral Research Associate position within an EPSRC-funded programme focused on Network Stochastic Processes and Time Series (NEST). This role offers a unique opportunity to contribute to groundbreaking research across various disciplines, including medicine, finance, cybersecurity, and more. The successful candidate will be part of an esteemed team working alongside leading academic institutions and industry partners.
Postdoctoral Research Associate in Network Data Science, Statistics, and Probability
Designation:
Postdoctoral Research Associate
Research Area:
Network Data Science, Statistics, and Probability
Location:
South Kensington Campus, Imperial College London (on-site only)
Eligibility/Qualification:
- PhD in Statistics, Applied Probability, or a closely related discipline (or to be acquired soon).
- Candidates who have not yet been officially awarded their PhD may be appointed as Research Assistants.
- Practical experience in a research environment and/or publications in relevant, refereed journals.
- Advanced knowledge of statistical methodologies.
- Proficiency in programming, preferably in R, Python, or MATLAB.
- Strong organizational skills and ability to work with minimal supervision.
- Willingness to work collaboratively as part of a team.
Job Description:
As a Postdoctoral Research Associate in the NEST team, you will:
- Contribute to innovative model creation, computational technique development, and theory underpinning to address real applied issues related to dynamic networks.
- Collaborate on research projects led by Imperial College investigators, including Ed Cohen, Nick Heard, Guy Nason, or Almut Veraart.
- Engage with a larger multidisciplinary team of academics and a growing cohort of postdoctoral and PhD colleagues across the collaborating universities.
- Participate in a wide range of research activities and actively contribute to the advancement of stochastic network data modelling and prediction.
How to Apply:
Interested candidates should submit their application via the Imperial College Careers website. Please include your CV, a cover letter detailing your research experience and interests, and contact information for at least two academic references.
Last Date to Apply:
11 February 2025
Join Imperial College London and be part of a mission that harnesses scientific imagination to create a world-changing impact. We welcome applications from candidates of all backgrounds, and we encourage diversity within our team.
