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PhD position Emotion Recognition in Dementia: Advancing Technology for Multimodal Analysis of Emotion Expression in Everyday Life
Published(1001 days ago)
University of TwenteEnschede (Niederlande)
PhD position (4 years) Emotion Recognition in Dementia: Advancing Technology for Multimodal Analysis of Emotion Expression in Everyday Life
Gezondheid, Gedrag en maatschappij
38.0 hours per week
€ 2191 - € 2801
Universiteit Twente (UT)
Emotional expression plays a crucial role in everyday functioning. It is a continuous process involving many features of behavioral,
facial, vocal, and verbal modalities. Given this complexity, few psychological studies have addressed emotion recognition in an everyday
context. Recent technological innovations in affective computing could result in a scientific breakthrough as they open up new
possibilities for the ecological assessment of emotions. However, existing technologies still pose major challenges in the field
of Big Data Analytics. Little is known about how these lab-based technologies generalize to real world problems. Rather than a
one-size-fits-all solution, existing tools need to be adapted to specific user groups in more natural settings. They also need
to take large individual differences into account. We take up these challenges by studying emotional expression in dementia.
In this context, emotional functioning is strongly at risk, yet highly important to maintain quality of life in person-centered
care. Our goal is to gain a better understanding of how dementia affects emotion expression. We carry out a pilot study, a
comparative study between Alzheimer patients and matched healthy older adults, as well as a longitudinal study on the development
of emotion expression in Alzheimer patients across time. We develop a unique corpus, use state-of-the-art machine learning
techniques to advance technologies for multimodal emotion recognition, and develop visualization and statistical models to
assess multimodal patterns of emotion expression. We test their usability in a workshop for international researchers and
make them available through the eScience Technology Platform.
You will cooperate in an interdisciplinary team, consisting of experts in psychology, dementia, social signal processing,
automatic behavioral analysis, visualization, and big data analytics. You are responsible for the recruitment of participants,
the collection of the data, data analysis and tool development.
You hold a MSc/MA degree in psychology or computer sciences, with a clear multidisciplinary interest in psychology and technology;
You have skills in machine learning and automatic classification;
You have skills in advanced statistical modelling;
You preferably have skills in technological tools for affect mining;
You have an interest in persons with dementia as the target group of the research.
You are keen to work in a multi-disciplinary team and have the ability to communicate across disciplines, or clear interest in developing this ability.
You are motivated, ambitious, with excellent analytical skills and a talent for precision.
You have a strong command of the Dutch and English language, both verbal and written.
You have excellent social, communication and organizational skills.
In case you have published one or more peer-reviewed scientific articles, this will be considered an advantage.
Because of the variety of skills and disciplines required for this position, we do not expect candidates to be already
fully equipped in all areas as developing these skills is part of the PhD process. Therefore, assessments might be part
of the job application procedure to determine relevant competences and potential.
Information and application
For more information, please contact Prof. Dr. Gerben Westerhof (e-mail: firstname.lastname@example.org), tel. +31-(0)53-4896074.
Your application should include a CV, a letter of application with a research statement indicating your background and interest,
and contact information for at least two references. The application deadline is 12 March 2017. Interviews will be held mid
and/or end March 2017. Applications should be uploaded via www.utwente.nl/vacatures/en).
Conditions of employment
We offer you a four-year full-time PhD position. You are expected to finish the project with a PhD thesis and disseminate the
results through publications in peer-reviewed journals, and presentations at (inter)national conferences. Your main responsibility
will be to carry out research, and you will be given the opportunity to acquire teaching experience as well. In accordance with
the Dutch Collective Labour Agreement for Universities, the monthly salary starts at € 2.191 gross per month in the first year,
leading up to € 2.801 gross per month in the last year. Employees are also entitled to a holiday allowance of 8% of the gross
annual salary and an 8.3% end-of-year bonus. We offer excellent auxiliary terms of employment, such as professional and personal
development programs; a secondary remuneration package; a dynamic environment with enthusiastic colleagues; an organization
focusing on internationalization and a high degree of responsibility and independence.
The anticipated start date is 1th of May, 2017.
The University of Twente. We stand for science and technology, high tech, human touch, education and research
that matter. New technology which drives change, innovation and progress in society. The University of Twente is the only campus
university in the Netherlands; divided over five faculties we provide more than fifty educational programs. The University of
Twente has a strong focus on personal development and talented researchers are given scope for carrying out pioneering research.
The Faculty of Behavioural, Management and Social Sciences strives to hold a leading position in their fields in relation to
the science and technology research programs of the University of Twente. In all these fields, the faculty provides bachelor,
master and professional development programs.
Faculty of Behavioural, Management and Social sciences
The Faculty of Behavioural, Management and Social sciences (BMS) strives to play a pivotal role in understanding, co-engineering
and evaluating innovation in society. Innovation is driven by advances in technology. Through ’social engineering’ these
technological advances are embedded in society befitting human needs and behaviour, within proper public and private management
and business structures. For this the faculty of BMS upholds high quality disciplinary knowledge in psychology, business
administration, public administration, communication science, philosophy, educational science and health sciences. All with
a focus on the challenges in society. Research is strongly connected to our Institutes on Governance (IGS), ICT (CTIT),
Health (MIRA) and Nanotechnology (MESA+).
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