About the role
The Diabetes Research Centre at the University of Leicester is seeking a candidate who will study for a doctorate in using accelerometer data to advance methods of estimating physical activity volume and intensity. The candidate will join the Learning network for Advanced Behavioural Data Analysis (LABDA), a stimulating, high-level European Doctoral program including 13 PhD students trained in several European countries.
The LABDA project
LABDA (Learning Network for Advanced Behavioural Data Analysis) is an EU-funded MSCA Doctoral Network that brings together leading researchers in advanced movement behaviour data analysis at the intersection of data science, method development, epidemiology, public health, and wearable technology to train a new generation of creative and innovative public health researchers via training-through-research. Via training-through-research projects, 13 doctoral fellows will establish novel methods for advanced 24/7 movement behaviour data analysis of sensor-based data, examine the added value of advanced behavioural data analysis and multi-modal data for predicting health risk and facilitate the use and interpretability of the advanced methods for application in science, policy, and society. Find out more here on youtube.
As the successful applicant, you will collate and advance methods of quantifying the volume and intensity of accelerometer-assessed physical activity. You will use datasets available nationally, such as the UK Biobank, and regionally using collected data through the Diabetes Research Centre, University of Leicester, or through local authority data capture systems. Your work will determine the extent to which methods are interoperable between cohorts, discriminate between groups, and predict health status and/or risk. In addition, you will work towards improving the interpretability of volume and intensity metrics, e.g., by establishing physical activity volume and intensity centile norms and determining the impact of adding specific activities to the physical activity profile.
In addition, you meet the following requirements and experience:
The following experience and skills would be highly valuable:
To be eligible, applicants need to fulfil the MSCA basic requirements:
As part of the project you will go on secondments including:
This position is funded by UKRI guarantee scheme for the Marie Skłodowska-Curie Actions (MSCA) of the European Union’s “Horizon Europe 2022” research and innovation program. You will be appointed as fulltime Research Assistant for 3 years at LDC, during which time you will study for a fee free PhD.
In addition to your local PhD training, you will participate in an attractive educational program customized to the 13 doctoral candidates. The LABDA training program consists of 3 secondments (1 in Norway, 2 in UK), monthly online trainings, 4 in-person 3-day workshops, conferences to optimally develop your academic and transferable skills.
The University of Leicester has been changing the world, and changing people’s lives, for 100 years. When you join us, you’ll become part of a community of Citizens of Change, which includes not only our staff and our current students but also thousands of Leicester graduates around the world.
As a diverse and forward-thinking employer, we embed the principles of equality, diversity and inclusion into everything we do. That includes not just our core missions of teaching and research, but also our support for staff, students and our local community.
We’re committed to the wellbeing of all our staff and to the sustainability of our environment, on our campus and beyond. We offer a competitive salary package, excellent pension scheme and a generous annual leave allowance, along with opportunities to develop your career in a supportive and collaborative environment.
For more information about this position, contact Dr Alex Rowlands on firstname.lastname@example.org
For more information about the application procedure, contact email@example.com
How to apply
External link to University of LEICESTER job portal