Postdoc for NNF Exploratory Synergy Project: A Wearable AI Feedback Tool for OCD Treatment and Research

Friday 26 Jun 20

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DTU Compute would like to invite applications for a 2-year Postdoc position starting September 1, 2020, or as soon as possible hereafter. The position is financed by a Novo Nordisk Exploratory Interdisciplinary Synergy Programme and is part of a collaboration with the Research Unit of the Child and Adolescent Mental Health Centre (CAMHC) at the Psychiatry Department of the Capital Region of Denmark. The project will be conducted in close collaboration between the two research units.  The hired Postdoc will work directly with a senior researcher from CAMHC.

The Postdoc will be hosted in the Statistics and Data Analysis Section at DTU Compute. Our Section has strong research in industrial statistics, big data and machine learning techniques and a good collaborative environment. 

The project aims to improve assessment and psychotherapy for pediatric obsessive-compulsive disorder (OCD) through developing an artificial intelligence tool to support, patients, parents and therapists in cognitive behavioral therapy. The pilot study involves a wearable ‘Wrist Angel’ that can help by using passive biosensing and machine learning techniques to predict OCD episodes and pave the way for suitable interventions. 

In parallel with data from the sensing wrist device, voice data from therapy session videos is available as well as biochemical samples of saliva, which may serve as a marker for the current level of family accommodation. 

This project will target signal processing, behavioral informatics and machine learning needed for succeeding in predicting relevant mental states and interventions. The methods could include acoustic features, skin conductance responses, deep neural nets as well as simpler machine learning methods when less data is available and transfer learning is infeasible. 

Responsibilities and tasks
You will be responsible to undertake research as described above. In order to encourage collaboration between you and the senior researcher at the CAMHC, we will ensure work space at both units.

Further responsibilities include:
 

  • Your research include several disciplines and it will therefore be important to seek information in and with different sources and master collaboration with other disciplines.
  • You must work independently, and at the same time collaboratively, and as such it will also be your responsibility to enhance the collaborations in the project.
  • As a Postdoc, you will have the opportunity and responsibility to teach BSc/MSc students in our regularly offered courses in data analytics.
  • You will also have opportunities to develop your teaching skills in our distance learning and continuing education programs through short courses offered primarily to  industry.
Qualifications
Candidates should have a PhD degree within data analytics, machine learning or similar.

You must have a very strong background in machine learning, deep learning, data analysis, mathematical modelling, and computing and if you have practical experience with machine learning methods, sensor analytics, and app development, we highly encourage you to apply. Furthermore, prior knowledge in software packages such as R and Python as well as proficient coding skills will be required. You must be fluent in English, both speaking and writing with great communication and presentation skills. 

Assessment
The assessment of the applicants will be made by Associate Professor Line Clemmensen (DTU Compute) as well as Senior Researcher Nicole Lønfeldt (The Research Unit - Child and Adolescent Mental Health Centre). 

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility. 

Salary and appointment terms
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 2 years. 

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Further information
Further information may be obtained from Associate Professor Line Clemmensen, tel.: +45 4525 3764, email: lkhc@dtu.dk

You can read more about DTU compute at
www.compute.dtu.dk/english.   

Application
Please submit your online application no later than 20 July 2020 (local time)
Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill out the online application form, and attach all your materials in English in one PDF file. The file must include: 
  • A letter motivating the application (cover letter)
  • Curriculum vitae (incl. list of publications or other research experience)
  • Grade transcripts and BSc and MSc diplomas
  • Certificate for PhD degree
  • An example technical text you have written in English such as a report prepared for a course, a consulting project, or a published peer-reviewed scientific article.
If one or more of the items requested above is missing, the application will be considered invalid. Candidates may apply prior to obtaining their PhD degree but cannot begin before having received it. 

Applications and enclosures received after the deadline will not be considered.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

DTU Compute conducts research and provides teaching in the fields of mathematics, modeling and computer science. The expanding mass of information and the increasingly complex use of advanced technology in society demand development of advanced computer based mathematical models and calculations. The unique skills of the department are in high demand in IT innovation and production.

Technology for people
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 11,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. Our main campus is in Kgs. Lyngby north of Copenhagen and we have campuses in Roskilde and Ballerup and in Sisimiut in Greenland.