Research Fellow - Coventry, United Kingdom - University of Warwick

University of Warwick

Verified Company

Coventry, United Kingdom

2 weeks ago

Posted by:

Tom O´Connor

beBee Recruiter

Description

Location
University of Warwick Campus, Coventry

Department
Statistics

Position Type
Fixed Term, Full Time

Duration
FTC until 31/08/27

Salary
£33,966 - £44,263

About the Role
Applications are invited for a post-doctoral research associate to work under Matthew Thorpe in the Department of Statistics at the University of Warwick on the Leverhulme Trust Research Project "

Robust Learning:
Uncertainty Quantification, Sensitivity and Stability".

The 3-year project involves developing methods, analysis and numerical approaches to graph-based learning with particular interest in high dimensional settings and Bayesian approaches.

The project will look at robustness and detection of rare events. There will be the opportunity to develop new methods.

The project starts in September 2024 and will run until August 2027. You will have the opportunity to engage with the recently established AI Hub on Probabilistic Artificial Intelligence. The position comes with a generous travel allowance.

About You
We are looking for a highly motivated and talented applicant with theoretical and applied experience in machine learning. Theoretical experience is particularly valued. Excellent communication skills and an ability to thrive in interdisciplinary collaborative teams is required for this project.

You will be required to work independently and within a team. You will hold a PhD or equivalent in a relevant scientific discipline (e.g. mathematics, statistics, computer science, engineering).

If you are near submission or have recently submitted your PhD but have not yet had it conferred, any offers of employment will be made as Research Assistant at the top of level 5 of the University grade structure.

Upon receipt of evidence of the successful award of your PhD, you will be promoted to Research Fellow on the first point of level 6 of the University grade structure.

About the Department

The Department's research spans a broad range of areas in statistics, data science, theoretical and applied probability, finance and interdisciplinary collaboration.

Its teaching programmes attract exceptional students at all levels.

It comprises around 800 undergraduate students on degree courses in MORSE, Mathematics and Statistics and Data Science and 150 postgraduate students on the MSc Statistics, MSc Mathematical Finance and PhD degree streams.

Major strategic initiatives include the research centre CRiSM, which acts as a catalyst for research across the breadth of the Department, the Applied Statistics & Risk Unit (AS&RU), which promotes and coordinates external partnerships, and the national Academy for PhD Training in Statistics (APTS).

The Department has close relations with the co-located Mathematics Institute and Department of Computer Science and with other departments such as Economics and the Warwick Business School and is strongly engaged with the Alan Turing Institute in London.

The newly established Warwick Centre for the Applications of the Mathematical and Computing Sciences (CAMaCS) is a joint initiative with Mathematics and Computer Science designed to link Warwick's world-leading research in the departments with external partners and bring benefits to society through impact.

About the University

Born in the 60s with a mindset of boldness, imagination and collaboration, the University of Warwick is a world-leading research-intensive university with the highest academic and research standards.

We're one of the world's top universities, ranked 67th in the world and 10th in the UK*, with 92% of our research assessed to be 'world leading or internationally excellent'**.

You'll be joining a diverse, innovative and globally connected community committed to igniting real world progress.

Here at Warwick, we offer you opportunities to follow your ambitions as long as you bring the energy and determination to succeed.

QS World University Rankings 2024

**Research Excellence Framework 2021

How to Apply

CLOSING DATE:
Tuesday 11th June 2024 at 11.45pm
Please attach a CV and cover letter.

Your CV should include your most recent employment experience, any other relevant experience, and education history.
Your cover letter must detail how you meet
each of **the essential criteria found in the