Belgium Job Openings
KU Leuven
Joint PhD position: Predictive models for early childhood obesity
Leuven
FULL TIME
September 16, 2024
Laatst aangepast: 16/09/24
Prof. dr. Annick Bogaerts is associated Professor of Midwifery Sciences and PI of the REALIFE research group. Both her teaching and research focus on perinatal epidemiology related to maternal and childhood obesity, developing & testing app supported lifestyle interventions in randomized controlled trials including longitudinal follow-up studies.
This doctoral candidate (DC1) will focus on (1) examining risk and predictive factors of childhood obesity based on existing multi-country register and cohort data, and (2) validating prediction models. The project will mainly rely on data from registers and large established cohorts. This project will lead to a collaborative joint doctorate from KU Leuven (Belgium), where the main supervisory team is based, and with Aarhus University in Denmark as the second university.
The project will result in (1) a list of key health indicators related to prevention of obesity to offer to Health Information Services in Europe, (2) a validated prediction model for early childhood obesity, (3) 4 scientific papers on 1. prediction of early childhood obesity, 2. impact of interpregnancy maternal weight change on maternal and child outcomes, 3. associations between modifiable risk factors and obesity in women and offspring during early childhood, 4. validation results from cohorts in different countries. In collaboration with 2 other doctoral candidates, a list of significant modifiable riska dn protective factors will be presented.
Key responsibilities of the Ph D candidate are:
- To harmonize and analyze register and longitudinal data to identify modifiable risk factors for childhood obesity;
- To conduct cross- national comparisons (Belgium- Denmark) of modifiable factors for the prevention of childhood obesity;
- To use a combination of traditional prediction models and machine learning approaches for the prediction of childhood obesity;
- Collaborate with DC2 and DC3 to integrate/merge data from multiple registers and cohorts;
- Complete a successful Ph D thesis within the project;
- Attend the training workshops, seminars and conferences organized within the HAP3 network;
- Publish in high-impact journals and present findings at conferences.
Internships are foreseen at Sciensano (Belgium) and at Ministery for Health, government Malta to gain experience in health monitoring and translation of research findings.
- Applicants must possess a MSc or an equivalent degree in a relevant field such as medicine, midwifery, nursing, psychology, public health, epidemiology, social sciences or a related discipline; or you will obtain this degree before September 30, 2024;
- Applicants must not hold a Ph D degree or have successfully defended a Ph D.
- Applicants must not have lived or conducted their main activities (work, studies, etc.) in Belgium for more than 12 months within the three years immediately preceding the recruitment date. Exceptions include compulsory national service, short stays such as holidays, and periods spent in the process of obtaining refugee status.
- Applicants must be eligible for enrollment in the Ph D program at (KU Leuven) and (Vrije Universiteit Amsterdam).
- Applicants must demonstrate a high level of proficiency in both written and spoken English (proof of B2 level or equivalent)
- Applicants must have a strong background in statistical/epidemiolgical analysis (experience with longitudinal data is a plus) and demonstrated proficiency in using statistical software (e.g., SPSS, R);
- Applicants must have good analytical, writing, and presenting skills;
- Applicants must be eager to learn new things, highly conscientious, flexible, and possess a collaborative attitude.
- Willingness to learn Dutch is desirable.
Interested?
HOW TO APPLY ?
- A photocopy of their ID card, or passport. You can use the kopieid app to prepare the ID copy safely;
- A copy of their academic qualifications, if not awarded in English, a certified translation is required;
- An academic CV;
- A motivation letter;
- A transcript detailing the grades obtained during their Master’s degree;
- The names and email addresses of two academic referees.
!!!! Please do NOT apply for this vacancy as mentioned below through the central online application tool from KU Leuven as this vacancy is part of a MSCA-JD network. Please apply via info@hap3.eu.
!!!! You can apply for multiple DCs (see www.hap3.eu ). Please clearly indicate 1) what DC or DCs you are applying for and 2) rank them in order of preference.
30/09/2024 23:59 CET
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