MSCA Network Fellow Doctoral Candidate

Loughborough University
September 28, 2023
Offerd Salary:£27979
Working address:N/A
Contract Type:Fixed-term for 3-yea
Working Time:Full time
Working type:N/A
Ref info:N/A

Job title

MSCA Network Fellow Doctoral Candidate

Job reference


Date posted


Application closing date





Specialist and Supporting Academic Research grade 5 from £27979

Job description

School of Sport, Exercise and Health Sciences

Full-time (37-hours per week); Fixed-term for 3-years starting 1 st January 2024

Applications are invited for an employed Doctoral Candidate to be funded by the Marie-Skłodowska-Curie Learning Network for Advanced Behavioural Data Analysis (LABDA),

a stimulating, high-level European Doctoral programme including 13 PhD students trained in several European countries. You will be appointed for 3-years, during which time you will study for a fee free PhD.

If you're passionate about exploring the interdisciplinary aspects of behavioural data and its impact on public health, we're eager to hear from you. We're in search of an ambitious scientist with a strong foundation in fields like exercise science, health science, public health, or human movement science. If you aspire to make a meaningful contribution to science, which involves collaborating with professionals from research, public health, and industry, and to create standardized frameworks for behavioural analysis, we encourage you to apply.

Having an understanding of existing frameworks for remote monitoring (e.g., DIME Playbook https: //, knowledge of data management principles (e.g., FAIR principles https: // www., and coding experience would also be favourable.

The successful applicant will work on the following objectives:

  • Conduct a scoping review of analytical and data standards for open research and best practices in 24-hour wearable sensor data analysis.
  • Develop a prototype of a benchmark to compare algorithms and software for assessing 24/7 movement behaviours.
  • Use consensus methodologies to engage with stakeholders across public health, industry, policy and research to identify measures that matter and fit-for-purpose resources (to take from a concept of interest to an outcome) that best meet stakeholder needs.
  • Design a conceptual framework and checklist for optimal accelerometer data-analyses across the pipeline and for multiple end-users.
  • Candidates must meet the Marie Skłodowska-Curie Early Stage Researcher eligibility criteria: https: // tenders/opportunities/docs/2021-2027/horizon/wp-call/2021-2022/wp-2-msca- actionshorizon-2021-2022en.pdf.

    In particular, at the time of appointment the successful candidate must not have already obtained a PhD (candidates who already have a PhD are not eligible to apply). Additionally, they must not have resided in the UK for more than 12-months in the three years immediately before the appointment.

    The language of MSCA is English and candidates must have evidenced proficiency in English to meet Loughborough University requirements. Candidates must demonstrate that their ability to understand and express themselves in both written and spoken English is sufficiently high for them to derive the full benefit from the network training.

    This full-time post is offered on a fixed-term contract for 3-years. The successful candidate will receive an attractive salary in accordance with Marie Skłodowska-Curie Actions (MSCA) regulations for Doctoral Candidates, this includes a living allowance, mobility allowance, and a family allowance (if applicable). The position will fully fund a PhD for the period of employment (36-months).

    Informal enquiries should be directed to Dr Dale Esliger, Reader in Digital Health, via email to [email protected] or by telephone to 01509 223280

    Applications close 28 September 2023.

    Further details are available here.

    This post is being re-advertised; previous applicants should not apply.

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