(MRes) – Development of valid, standardised, and reliable methodologies to assess exercise efficiency (Project ID SAS0223)

About the Project

Exercise efficiency is a key determinant of endurance performance reflecting the ratio of mechanical work output to metabolic energy expenditure (MacDougall, Falconer, & MacIntosh, 2022; Brooks, Gaesser, & Poole, 2024; Hopker et al., 2009). Despite its relevance, the assessment of exercise efficiency is subject to considerable methodological variation, particularly in the estimation of energy expenditure from gas exchange data. Different equations used to quantify energy expenditure yield divergent efficiency values, complicating comparisons across studies (Bossi, Timmerman, & Hopker, 2020). There is also a long-standing debate regarding the most appropriate definition of exercise efficiency, whether gross, net, work, or delta (Ettema & Lorås, 2009; Gaesser & Brooks, 1975). Regardless of the definition employed, inconsistencies in testing protocols and data processing methods continue to hinder progress in both research and applied contexts. This project aims to address some of these challenges by contributing to the development of valid, standardised, and reliable methodologies for assessing exercise efficiency, informed by the latest theories and experimental studies in exercise physiology. The methodological approach remains flexible and open to discussion but will necessarily involve data collection using cycle ergometers and metabolic carts. This project would be particularly well suited to a student with experience in conducting cardiorespiratory assessments in a laboratory setting.

An MRes is an ideal route to gain experience in scientific research. These programmes are shorter than a full PhD but still offer valuable experience in project management and direction. You will have the chance to apply the skills you already have while also learning and using new practical and analytical techniques. An MRes is particularly suitable if you are looking to explore or transition into a new subject area, or if you are considering different career paths or academic research options. These programmes also help prepare you for roles that require research experience, including working within professional teams or in large organisations such as the NHS or other healthcare providers.

If you undertake this research project, you will work either full-time for 12 months or part-time for 20 months. The initial weeks will be dedicated to refining the project to align with your interests and aspirations. You will be part of the School of Applied Sciences, where you will receive comprehensive support throughout your studies, including training and events hosted both locally within the school and by our Research, Innovation, and Enterprise events team. Bespoke training will be provided to help you develop both your research and transferable skills.

Within the School of Applied Sciences, you will have access to a range of leading facilities and expertise, including the Mountain Bike Centre of Scotland. You will join a vibrant and growing community of postgraduate research students at the university, with access to workspace and social space in our recently refurbished researcher community suite.

Academic qualifications

A first degree (at least a 2.1) ideally in sport and exercise science or related subject, with a good fundamental knowledge of exercise physiology and statistics.

English language requirement

IELTS score must be at least 6.5 (with not less than 6.0 in each of the four components). Other, equivalent qualifications will be accepted. Full details of the University’s policy are available online.

Essential attributes:

• Experience of fundamental research methodologies in exercise physiology, including experimental design, data collection and analysis.
• Competency in the use of physiological measurement equipment such as ergometers, gas analysers, and heart rate monitors.
• Knowledge of current theories and practices in exercise physiology, particularly related to exercise efficiency, ergo-spirometry, and exercise intensity domains.
• Good written and oral communication skills.
• Strong motivation, with evidence of independent research skills relevant to the project.
• Good time management.

Desirable attributes:

• Prior involvement in laboratory-based data collection.
• Experience using statistical software, preferably R, for data processing, analysis, and visualisation.
• Involvement in published scientific work.

PLEASE APPLY VIA THE FOLLOWING LINK https://evision.napier.ac.uk/si/sits.urd/run/siw_sso.go?Li7JJriJehDCOCkvaJp2SRVPPqzmF5e3HaFVqV3N8cVKWOIm2b

When applying, please quote the application reference SAS0223 on your form.

APPLICATION CHECKLIST

• Completed application form
• CV
• 2 academic references, using the Postgraduate Educational Reference Form (Found on the application process page)
• A personal research statement (This should include (a) a brief description of your relevant experience and skills, (b) an indication of
• What you would uniquely bring to the project and (c) a statement of how this project fits with your future direction.)
• Evidence of proficiency in English (if appropriate)