Phd Position for Fnr Core Project Vr Bias

il y a 3 semaines

Luxembourg, Luxembourg Université du Luxembourg Temps plein
The
University of Luxembourg is an
international research university with a distinctly
multilingual and
interdisciplinary character.

The University was founded in 2003 and counts more than 6,700 students and more than 2,000 employees from around the world.

The University's faculties and interdisciplinary centres focus on research in the areas of Computer Science and ICT Security, Materials Science, European and International Law, Finance and Financial Innovation, Education, Contemporary and Digital History.

In addition, the University focuses on cross-disciplinary research in the areas of Data Modelling and Simulation as well as Health and System Biomedicine.

Times Higher Education ranks the University of Luxembourg #3 worldwide for its "international outlook," #20 in the Young University Ranking 2021 and among the top 250 universities worldwide.


The Faculty of Science, Technology and Medicine (FSTM) contributes multidisciplinary expertise in the fields of
Mathematics,
Physics,
Engineering,
Computer Science,
Life Sciences and
Medicine. Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens, in order to better understand, explain and advance society and environment we live in.

Your Role
:


VR BIAS presents an innovative approach to improve body image, that is, the way someone perceives, feels, and thinks about their body.

People with a negative and distorted body image are more likely to develop an eating disorder and less likely to recover from it.

Distorted feelings about events happening inside the body, such as the beating of the heart, are also common in eating disorders.

Participants in our intervention view a virtual representation of their body pulsating with their heart rhythm, which creates an illusion of ownership over the virtual body.

Since this intervention combines information on how the body looks with how the body feels from the inside, we expect this to positively affect the way participants experience their bodies.

The project explores different variations of this illusion (various types of avatar bodies, viewing perspectives, and limb motion) and distinct ways to assess distorted perceptions of the body.


Your Tasks

  • Complete a doctoral thesis in Computer Science (based on peerreviewed publications)
  • Acquire indepth theoretical and practical knowledge on VR, embodiment, multisensory integration, and related topics through literature research, training programmes, and exchange with team members
  • Develop VR prototypes of dedicated, immersive scenarios and multisensory integration
  • Collect, manage, and analyse quantitative data, including psychophysiological data
  • Contribute to the development of methods and materials
  • Effectively collaborate with all project partners in an interdisciplinary team
  • Attend and present research findings at national and international conferences
  • Publish scientific articles in peerreviewed international journals
  • Contribute to teaching and cosupervising students

What we expect from you:

  • Master's degree in Computer Science or a closely related discipline
  • Strong interest in working with mediatedreality technologies
  • Good programming skills; ideally, previous experience in VR development
  • Knowledge of experimental research design and quantitative methods (statistics)
  • Excellent oral and written language skills in English; knowledge of German is an asset.
  • Good project and time management skills and ability to work under pressure to meet the project's deadlines
  • Researchminded, independent critical thinking and analytical skills
  • Excellent communication and interpersonal skills
  • Enthusiasm for interdisciplinary cooperation and multidisciplinary development

What we offer

  • Full funding to run the research project, including financial support for attending conferences and trainings
  • Access to stateoftheart equipment and lab facilities
  • The opportunity to conduct exciting and relevant research
  • A vibrant and stimulating work environment, collaboration in a multidisciplinary team
  • Ample opportunity for professional development and training from the research team and a tailored training program for PhD students through the Doctoral School of Social Sciences
  • Intense supervision and input from a joint team of scientists from different disciplines and departments (psychology and computer sciences)
  • A personal workspace at the University

In Short
:

  • Contract Type: Fixed Term Contract 36 Month (extendable up to 48 months if required)
  • Work Hours: Full Time 40.0 Hours per Week
  • Earliest start date: July 2023
  • Location: Belval
  • Employee and student status
  • Job Reference: UOL05731
The yearly gross salary for every PhD at the UL is EUR full time)

How to apply
:

Applications should be submitted online and include:

  • Curriculum Vitae (including

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