Postdoc in Modelling of Pupillometry

DTU Compute
Tuesday 26 Feb 19

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The Section of Cognitive Systems (COGSYS) at DTU Compute is looking for a post doc within machine learning and pupillometry. The position is supported by the Oticon Foundation.

The Section for Cognitive Systems is a lively and research oriented group of scientists and support staff with a shared interest in information processing in man and in computers, and a particular focus on the signals they exchange - audio, imagery, behavior – and the opportunities these signals offer for modeling and engineering of cognitive systems.

Our department DTU Compute is an internationally unique academic environment spanning the science disciplines mathematics, statistics and computer science. At the same time we are an engineering department covering informatics and communication technologies (ICT) in their broadest sense. Finally, we play a major role in addressing the societal challenges of the digital society where ICT is a part of every industry, service, and human endeavour.

DTU Compute strives to achieve research excellence in its basic science disciplines, to achieve technological leadership in research and innovation, and to address societal challenges in collaboration with partners at DTU and other academic institutions, nationally and internationally, and, equally important, with industry and organizations. We communicate and collaborate with leading centres and strategic partners in order to increase participation in major consortia.

DTU Compute plays a central role in education at all levels of the engineering programmes at DTU - both in terms of our scientific disciplines and our didactic innovation.

As a post doc, you will develop methods for analysing and modelling (tonic and phasic) pupillary responses in the context of performing a hearing test, by parameterizing and analysing individual pupillometric response curves that has been previously recorded.

The goal is to establish the main features of the pupillary response function that best characterize the listening effort, and to build a reliable classifier that can be used to subsequently label individual pupillary traces into high, medium and low listening effort.

Responsibilities and tasks
As our new post doc, you will work with a team of researchers at DTU and within the industry to develop new methods that can be used in hearing-aids fitting. As part of this team, you will be responsible for: 

  • developing methods for analysing, extracting features from, and modelling individual phasic pupillometric traces
  • testing and comparing different approaches in “real-world” settings
  • identify individual baselines and estimate variations
  • classifying individual phasic pupillometric traces into categories of listening effort
  • estimating the reliability of the models and resulting classifications
  • lead the publication of academic papers in high-impact peer-reviewed journals
The role includes collaboration with other members of the team, both at DTU Compute, DTU Electro and with our industrial- and research-partners.

Qualifications
Candidates should have a PhD degree or equivalent. 

The PhD degree can be e.g. in machine learning, pupillometry or related fields. We are looking for candidates that preferably have a good research track record working in one or more of the following research areas:
 
  • machine learning
  • mathematical modelling and computing
  • pupillometry
  • hearing-aids technology
  • cognitive science
  • human-computer interaction
In addition, you: 
  • have a strong mathematical foundation
  • have strong analytical and academic skills
  • enjoy working with complex topics
  • are driven by pushing boundaries and can generate and carry out new ideas, building on previous scientific work yet still covering new ground
  • have compelling communication skills in English, with a track record of scientific publications, conference presentations, reports and/or popular dissemination
  • have the ability and drive to work cross-disciplinarily in an international academic and industrial research setting
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 terms of employment
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 initially 1.5 year.

The workplace is primarily at DTU Lyngby Campus but can also involve work at our industrial research partners.

You can read more about 
career paths at DTU here

Further information
Further information may be obtained from Per Bækgaard, tel.: +45 4050 2574. 

You can read more about DTU Compute and COGSYS at 
www.compute.dtu.dk

Application procedure
Please submit your online application no later than 27 March 2019 (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: 
  • Application (cover letter)
  • CV
  • Diploma (MSc/PhD)
  • List of publications
Applications and enclosures received after the deadline will not be considered.

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

DTU Compute has a total staff of 400 including 100 faculty members and 130 Ph.D. students. We offer introductory courses in mathematics, statistics, and computer science to all engineering programmes at DTU and specialised courses to the mathematics, computer science, and other programmes. We offer continuing education courses and scientific advice within our research disciplines, and provide a portfolio of innovation activities for students and employees.

DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 6,000 advance science and technology to create innovative solutions that meet the demands of society, and our 11,200 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government and public agencies.