Department: School of Mathematical Sciences
Salary: OFF SCALE (Grade 4)
Location: Mile End
Date posted: 05-Mar-2021
Closing date: 09-Apr-2021
Applications are invited for a 36-month, full-time Marie Sk¿odowska-Curie Early-Stage Researcher (ESR) to work on the EC Horizon 2020 funded Marie Sk¿odowska-Curie European Training Network (ETN) ‘EvoGamesPlus’ (EC GA: 955708) focused on modelling stochastic processes in evolutionary games of resistance to cancer treatment.
EvoGamesPlus comprises 15 beneficiaries from academic sectors from 9 European countries (Austria, Czech Republic, Germany, Hungary, Ireland, Italy, Poland, Netherlands, UK) and a further 15 partner organisations from the academic sector from 7 countries (Brazil, France, Italy, Spain, Netherlands, UK, USA) and comprises a high level research and doctoral level training programme involving a total of 15 ESRs.
The ESR appointed at Queen Mary’s School of Mathematical Sciences (SMS) will work under the supervision of Dr Weini Huang and is offered in conjunction with a PhD studentship at Queen Mary, subject to satisfying admission requirements. The ESR will conduct a research project (ESR9) to use stochastic processes and game theory to study how different mechanisms of resistance in cancer cells impact patient treatment prospects and how we adjust treatment to maximise treatment efficacy under these different possible assumptions. The successful candidate will receive training on transferable skills and attend regular training and networking across the Consortium with travel across the EU and beyond.
Analytical work will involve using, for example, probabilistic Markov models to find equilibria and non-equilibrium dynamics in our study system. This work will be done under the supervision of Dr. Weini Huang (first supervisor) and Dr. Dudley Stark (second supervisor) in SMS. Our partner training labs will be the Barts Cancer Institute in Queen Mary’s School of Medicine and Dentistry and the Maths Department at the University of Maastricht in the Netherlands.
The successful candidate will hold a BSc, MSc or an equivalent degree in applied mathematics, physics, or computer science. Strict eligibility requirements apply: please refer to the person specification for details. For further information regarding the EvoGamesPlus Project and related ESR posts see www.evogamesplus.eu and Twitter @EvoGamesPlus).
The expected post start date is 1 July 2021 for 3 years. Basic salary is £36,802 per annum inclusive of mobility allowance. For candidates eligible for the additional family allowance, salary will be £40,360 per annum. Salary is subject to tax and NI deductions and exchange rate review.
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.
Interested candidates are strongly advised, prior to applying, to read carefully the job description and to contact Dr Weini Huang at firstname.lastname@example.org to express their interest and intention to apply.
As part of the application process, candidates will be required to include:
- CV including relevant publications (if applicable)
- Personal statement detailing your research experience or related skills
- A covering letter explaining their motivation for the role
- Copies of academic degrees and official transcripts
- Two letters of recommendation
To apply please click on the “Apply” link.
The closing date for applications is 9th April 2021 and interviews will be held shortly thereafter.
Valuing Diversity & Committed to Equality