ESR Vacancies

PhD positions are available for highly motivated Early Stage Researcher (ESR) as part of the visuAAL project.

See below the details for each of these positions: job and project descriptions, requirements, salary, application and selection procedures, additional requirements...

Please, read the call for applications for a specific project (below) before applying.

Deadline: Until the positions are filled. The Consortium will collect and evaluate the applications every two weeks. 

NOTE: During the application process, applicants are able to select multiple positions in case they were interested in several of the research projects.

Eligibility criteria

  • Applicants must hold a master’s degree (or equivalent) relevant to the project(s) they apply for. Please, check the degrees that are relevant for each project in the call for applications below.
  • Applicants should not have been awarded a PhD degree
  • At the time of recruitment, applicants must have less than four (full time equivalent) years of experience within a research career (measured from the date when the applicant obtained the first degree entitling him/her to embark on a doctorate, even if a doctorate was never started or envisaged)
  • Applicants can have any nationality
  • Applicants must not have resided or carried out their main activity (work, studies, etc.) in the country of the recruiting institution for more than 12 months in the 3 years immediately before the recruitment date
  • Proficiency in written and spoken English
  • Additional criteria can apply for each specific research project (see the details about each project below)

IMPORTANT NOTE: Each project has its own call for applications (below) specifying the relevant master's degree and additional criteria. Please, confirm that you fulfil those requirements before applying for a particular project. We have detected that some applicants apply for several projects: one that requires a degree in Law, another one that requires a degree in Psychology, and another one that requires a degree in Computer Science. It is highly unlikely that an applicant could fulfil all those requirements.

Apply now

 

 

  Research Project 2  

(Dis)Trust in medical technologies and medical support considering (severe) health decisions

Trust as a major component of the acceptance of medical technologies is essential. Especially in severe health- and life-end-decisions, socio-ethical perspectives on lifelogging and medical technology are of paramount impact. Thereby, trust in technologies and decisions of medical personnel are of utmost importance for people who need assistance and care. Yet, trust concepts prevailing are concentrating on different usage contexts and lack of understanding which factors need to be considered in severe illness and under vital conditions. This thesis examines the extent to which trust in technology and medical support impacts technology acceptance and decisions in (severe) health situations.

Host institution: RWTH Aachen University,  Germany

Please, read the call for applications for this project before applying.

For more information about this project, please contact Prof Martina Ziefle 

Apply now

 

  Research Project 3  

Acceptance of artificial intelligence in health-related contexts​

This thesis focuses on the perception and acceptance of intelligent solutions for supporting, on the one hand, people who suffer from chronic diseases as well as medical staff, on the other hand. Required and desired functions of the technologies will be explored depending on the respective context and user group. In addition for the investigation of acceptance, perceived benefits, perceived barriers, and usage conditions are examined for a broad spectrum of health settings.

Host institution: RWTH Aachen University,  Germany

Please, read the call for applications for this project before applying.

For more information about this project, please contact Prof Martina Ziefle 

Apply now

 

  Research Project 9  

Personalisation of self-management education/training for individuals with multiple chronic health conditions (multimorbidity) using visual based data

The aim of this PhD is to explore machine learning or artificial intelligence (AI) approaches to the use of visual based data to aid personalisation of education and training for individuals living with multimorbidity. Research will involve defining user and behaviour
change models to facilitate appropriate AI approaches to tailor educational and training interventions, based on an individual’s self- management needs as captured from camera based systems in the home. The PhD will also focus on understanding data protection,
ethical and privacy concerns in relation to the use of AI approaches for using visual data to inform an individual’s education and training in relation to their self-management.

Outcomes from this PhD will seek to recommend AI approaches to facilitate education, training and as such positive behavioural changes to the use of camera based technology in the home. The output from this PhD is anticipated to produce AI based personalised education and training approaches which will seek to demonstrate how visual based AAL interventions may be used to promote positive behaviour change in relation to multimorbid disease management. The PhD will explore how visual based data can inform ‘user friendly’ alternate representations linked to health and well-being indictors and as such better direct individuals managing multimorbidity to tailored training and educational content to support their self-management needs and goals.

Host institution: Trinity College Dublin,  Ireland

Please, read the call for applications for this project before applying.

For more information about this project, please contact Dr John Dinsmore

Apply now