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Position: Doctoral Candidate (m/f) in Psychology, Social Sciences or related fields
Institution: University of Luxembourg
Location: Luxembourg City, Luxembourg
Duties: Dementia risk is to a substantial extent related to so-called modifiable social and behavioural risk factors. These factors are differently predictive of dementia depending on age, and there is insufficient evidence on how dementia risk changes over the long term if a risk factor is changed. Few dementia risk prediction models are able to accurately predict dementia risk in new data over longer time spans (i.e., one or more decades). One of the CRISP project’s aims is to assess the value of behaviour changes and improve dementia risk prediction with machine learning. This will be done through analysis of large-scale individual-level data collected over 15-20 years. Assessing risk of dementia at early old ages is helpful to identify participants for clinical trials and to provide targeted support via lifestyle interventions; Contribute to the project’s research on cognitive aging and dementia; Develop algorithms ready for development of a risk prediction app; Prepare papers for publication in leading international peer-reviewed journals; Disseminate findings at conferences and meetings
Requirements: Master in one of the domains relevant for the project, e.g. Psychology, Biostatistics, Epidemiology, Public Health; Advanced quantitative/statistical skills; Programming skills (R, Python); Fluency in English language; Strong ability to work both independently and as part of a team
   
Text: UOL03197 30-Jul-2020 Company Text The University of Luxembourg (UL) invites applications for a doctoral candidate position to work on the project ‘Cognitive Ageing: From Educational Opportunities to Individual Risk Profiles’ funded by the European Research Council (2019-2023). Doctoral researcher (PhD student) in Social Sciences or Psychology 36 months fixed-term contract (full time 40 h/week) Employee and student status Your Role Dementia risk is to a substantial extent related to so-called modifiable social and behavioural risk factors. These factors are differently predictive of dementia depending on age, and there is insufficient evidence on how dementia risk changes over the long term if a risk factor is changed. Few dementia risk prediction models are able to accurately predict dementia risk in new data over longer time spans (i.e., one or more decades). One of the CRISP project’s aims is to assess the value of behaviour changes and improve dementia risk prediction with machine learning. This will be done through analysis of large-scale individual-level data collected over 15-20 years. Assessing risk of dementia at early old ages is helpful to identify participants for clinical trials and to provide targeted support via lifestyle interventions. Contribute to the project’s research on cognitive aging and dementia Develop algorithms ready for development of a risk prediction app Prepare papers for publication in leading international peer-reviewed journals Disseminate findings at conferences and meetings Your Profile Master in one of the domains relevant for the project, e.g. Psychology, Biostatistics, Epidemiology, Public Health Advanced quantitative/statistical skills Programming skills (R, Python) Fluency in English language Strong ability to work both independently and as part of a team We offer A position in a highly visible research project at the frontiers of knowledge in the field of social inequalities, health, and cognitive ageing Opportunities for further training, international mobility, career development and participation in international conferences A multi-disciplinary, international, well-equipped work environment Attractive remuneration Gender policy: UL is an equal opportunity employer. Further Information All applications need to be sent through the online submission system. Please upload the following documents in PDF format: Curriculum Vitae with list of publications Motivation letter (1 page) detailing your interest to contribute to the CRISP project Contact details of two persons with full name and institution that can be approached as referees Copies of diplomas or transcripts with grades if issued in a language other than English, French or German Deadline for applications is 30 th of July 2020, but applications will be immediately considered until the position is filled. Shortlisted applicants will be invited for an interview on site or via video call. The ERC StG project CRISP (grant no. 803239, PI: Assoc. Prof. Anja Leist ) ‘Cognitive Ageing: From Educational Opportunities to Individual Risk Profiles’ is an interdisciplinary project located in the Social Sciences. Please contact Anja Leist (anja.leist@uni.lu) in case of further questions. For candidates applying from outside the EU, please consult the Foreign Researcher’s Guide to Luxembourg . Ref: RCREQ0003800
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