The development of algorithms for activity classification of device-measured physical activity in family settings across countries

25 Apr 2024
Job Information

Organisation/Company

University of Limerick

Department

Physical Education and Sport Sciences

Research Field

Psychological sciences » Behavioural sciences
Computer science » Modelling tools
Medical sciences » Health sciences

Researcher Profile

First Stage Researcher (R1)

Country

Ireland

Application Deadline

10 May 2024 - 17:00 (Europe/Brussels)

Type of Contract

Temporary

Job Status

Full-time

Hours Per Week

39

Offer Starting Date

1 Oct 2024

Is the job funded through the EU Research Framework Programme?

H2020 / Marie Skłodowska-Curie Actions

Marie Curie Grant Agreement Number

101120480

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

The INDEEP research programme integrates research, training and action learning to develop the next generation of researchers, to advance the field of determinant informed physical activity behaviour intervention development in youth and to integrate these learnings into public policy and practice. This will be achieved through the implementation of 10 individual research projects that have been carefully designed to support the successful achievement of the INDEEP research and training objectives. Challenges addressed in the INDEEP Doctoral Network (DN) reflect the premise that the more we understand the factors that determine a physically active or inactive lifestyle, the better we can design and implement targeted and effective interventions, policies and infrastructures. There is an absence of high quality, Europe-wide data collected with standardised methodology on device-assessed physical activity behaviours and their multi-level determinants, which is a major barrier that stops further progress towards informing policy and intervention in the area of physical activity for health. This project within the INDEEP doctoral network aims to advance the state-of-the-art, addressing the need for high-quality, Europe-wide standardised methodologies for collection of device-measured physical activity behaviours in a family setting.

Requirements

Research Field

Other

Education Level

Bachelor Degree or equivalent

Skills/Qualifications

• You must have a professionally relevant background in computer science, data science, biostatistics or a or a closely related discipline, or have a background in exercise science with further qualifications of experience in computer science.
• You must have experiences with machine learning or the skills and ability to work on the development of machine learning algorithms.
• Must not already hold a doctoral degree
• Must comply with the Marie Skłodowska-Curie Action mobility rule: not have resided or carried out their main activity (work, studies, etc.) in Ireland for more than 12 months in the 3 years immediately before the recruitment date
• Your education must include an undergraduate degree program, successfully concluded by a Master degree (or equivalent).
• You must have a strong academic background from your previous studies and an average grade of a first- or second-class honours degree (or equivalent compared with the institutional grading scale). If you have a weaker grade background, you may be assessed if you can document that you are particularly suitable for a PhD education.
• You must meet the requirements for admission to the faculty/institutional doctoral program
• You must have good communication and collaboration skills and be fluent in English

Specific Requirements

• Preference to work in an interdisciplinary environment
• Previous experience in programming in R, Python or similar.
• We are looking for a candidate with some proficiency in machine learning, particularly in the application of supervised and unsupervised learning techniques, to effectively analyse device-measured physical activity data.

Languages

ENGLISH

Level

Good

Additional Information
Benefits

All candidates will be employed by the host institution, and will be required to register on a PhD programme within this institution, according to the MSCA Doctoral Network rules, following the regulations of the hosting institution. A financial package will consist of a Living Allowance, Mobility Allowance (for moving to a new country) and a Family allowance (where applicable). Please refer to the detailed individual project descriptions provided at www.indeep-project.eu/vacancies/current-opening , where benefits are provided for each individual project, relating to each individual institution. For any additional information, please contact the project supervisor (listed under general information on the job advertisement) or email [email protected] . 

Eligibility criteria

Please refer to the detailed individual project descriptions provided at www.indeep-project.eu/vacancies/current-opening . All eligibility criteria are provided for each individual project, relating to each individual institution. For any additional information, please contact the project supervisor (listed under general information on the job advertisement) or email [email protected] . In particular, candidates must comply with the Marie Skłodowska-Curie Action mobility rule: not have resided or carried out their main activity (work, studies, etc.) in Ireland for more than 12 months in the 3 years immediately before the recruitment date

Website for additional job details

http://www.indeep-project.eu/vacancies/current-opening

Work Location(s)

Number of offers available

1

Company/Institute

University of Limerick

Country

Ireland

State/Province

Munster

City

Limerick

Geofield

Where to apply

E-mail

[email protected]

Contact

State/Province

Limerick

City

Limerick

Website

https://www.ul.ie/research/prof-alan-donnelly

Street

Lismurrew

Postal Code

F12N5F6

E-Mail

[email protected]

Phone

0879126217

STATUS: EXPIRED