Early Stage Researcher in Statistics

University of Leeds - School of Mathematics

Location: Leeds - Main Campus

Faculty/Service: Faculty of Mathematics & Physical Sciences

Category: Research

Grade: Off grading structure, €44,895 p.a. per annum plus allowances. This amount will be subject to tax and employer’s and employee’s National Insurance deductions, and will be paid in UK Sterling (£) using an appropriate conversion rate

Contract Type: Fixed Term (36 months)

Are you a rising star in the field of Statistics, in the first four years of your research career and based outside the UK? Do you want to further your career and attain a PhD in one of the UK’s leading research intensive universities?

IMforFUTURE is a Marie Sklodowska-Curie Innovative Training Network (MSCA-ITN-ETN). We offer an innovative multidisciplinary and intersectoral research training programme in statistics, integrated data analysis, glycoproteomics and genetics and glycoproteomics analysis. The aim is to integrate genetics, glycomics, and epigenomics datasets into systems biology for ageing by developing innovative methods for high throughput omics and for integrative analysis of omics data. The network brings together renowned experimental and theoretical scientists from six universities and two industrial companies across Europe.

As an Early Stage Researcher in Leeds, you will undertake research in statistical methodology, specifically in mixed models for categorical data and survival models for high dimensional data. You will interact and develop research collaborations with our IMforFUTURE academic partners, and in addition you’ll participate in activities of the Innovative Training Network, including attending training courses and visiting other sites.

To meet the requirements of the Marie Sklodowska-Curie Innovative Training Network, you will be an early stage researcher within the first four years of your research career, have not yet been awarded a doctoral degree (PhD), and have not lived or carried out your main activity (work/study) in the UK for more than 12 months during the past three years. You will also need to have the flexibility to travel throughout the European Union.

As well as previous research experience, you will have a good undergraduate/Masters’ degree in statistics, biostatistics, or econometrics, and be eligible to enrol on a PhD degree. You’ll also have excellent communication and organisational skills and a strong commitment to your own professional development.

To explore the post further or for any queries you may have, please contact:

Professor Jeanine Houwing-Duistermaat, IMforFUTURE Project Co-ordinator, Tel: +44 (0)113 3439821, email: J.Duistermaat@leeds.ac.uk

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