Postdocs on the subject of affective computing in the automotive domain

Centrum Wiskunde & Informatica (CWI) has a vacancy in the Distributed & Interactive Systems research group for two talented Postdocs, on the subject of affective computing in the automotive domain

Job description
This two-year project will explore the future of cars and interactive systems, with a focus on creating intelligent and emotion-aware systems that can contribute to better automotive user interfaces. This joint-industrial position provides a unique research opportunity of working on real-world problems in the automotive domain.

We are looking for two excellent postdoctoral researchers, one in human-computer interaction (HCI) and the other in machine learning / ubiquitous computing (UbiComp), with interest in doing research on physiological sensing and affective computing in an automotive context. The appointment is for two years, with a possibility of extension.

Requirements
Candidates are required to have a PhD degree in computer science or related field, and expected to have an excellent command of English, with good academic writing and presentation skills. Position specific requirements:

  1. HCI position:

We invite applications from outstanding individuals with a suitable background in human-computer interaction, computer science, (electrical) engineering, data sciences, or cognitive science. This position will involve working with users in a driving simulator and/or test track setting, physical prototyping with physiological sensors, designing and running controlled (simulator) studies, and drawing on both quantitative and qualitative analysis methods.

We expect candidates to have excellent programming skills (C/C++, Java, Python), familiar with physical prototyping (e.g., Arduino), wearable (e.g., eye tracker, EDA sensor) and camera-based sensors, and have published at CHI, IMWUT/UbiComp, IEEE Intelligent Vehicles Symposium, AutomotiveUI, or other related venues. Experience with Unity is a plus.

  1. ML/UbiComp position:

We invite applications from outstanding individuals with a suitable background in computer science, data sciences, neuroscience, or cognitive science. This position will involve developing signal processing and learning algorithms, drawing on recent advances in machine learning for affective and attentional state classification and/or regression, using image and physiological data. This may involve delving into generative models for data augmentation, or exploring robust multi-modal fusion methods.

We expect candidates to have excellent programming skills (C/C++, Python), have experience in machine (deep) learning (Scikit-learn, TensorFlow, PyTorch) and computer vision (OpenCV), be familiar with physiological sensor data, and have published at IMWUT/UbiComp, Multimedia, ICIP, CVPR, or other related venues. Experience with time series data is a plus.

Terms and conditions
The terms of employment are in accordance with the Dutch Collective Labour Agreement for Research Centres ("CAO-onderzoeksinstellingen"). The gross monthly salary for an employee on a full time basis, depending on relevant work experience, ranges from € 3,560 to € 4,339. The appointment will be for a period of two years.

Employees are also entitled to a holiday allowance of 8% of the gross annual salary and a year-end bonus of 8.33%. CWI offers attractive working conditions, including flexible scheduling.

Please visit our website for more information about our terms of employment: https://www.cwi.nl/jobs/terms-of-employment

Application
Applications can be submitted until 15 May, 2019 (till the positions are filled) to apply@cwi.nl. All applications should include:

  • Detailed CV
  • A letter of motivation (max. two pages) describing your previous research experience and your research interests linked with this project
  • A transcript of your doctoral studies and degree certificate of your PhD
  • List of publications
  • Two (academic/professional) references (i.e., names and contact details)

Please indicate in your email subject which position you are applying for. For residents outside the EER-area, a TOEFL English language test may be required.

For more information about the vacancy, please contact Dr. Abdallah El Ali (abdallah.el.ali@cwi.nl) or Dr. Pablo Cesar (p.s.cesar@cwi.nl).
For more information about CWI, please visit www.cwi.nl or watch our video about working at CWI.

About Centrum Wiskunde & Informatica
Centrum Wiskunde & Informatica (CWI) is the Dutch national research institute for mathematics and computer science and is part of the Institutes Organisation of NWO. The mission of CWI is to conduct pioneering research in mathematics and computer science, generating new knowledge in these fields and conveying it to trade, industry, and society at large.

CWI is an internationally oriented institute, with 160 scientists from approximately 27 countries. The facilities are first-rate and include excellent IT support, career planning, training, and courses.

CWI encourages a diverse workforce: we endeavour to develop talent and creativity by bringing people from different backgrounds and cultures together. We recruit and select based on capabilities and talent. We strongly encourage everyone with the appropriate qualifications to apply for the vacancy, regardless of age, gender, origin, sexual orientation or physical abilities.

CWI is located at Science Park Amsterdam that is presently developing into a major location of research in the natural sciences in The Netherlands, housing the sciences of the University of Amsterdam and of the Vrije Universiteit as well as several other national research institutes next to CWI.

Research group: Distributed and Interactive Systems
http://www.dis.cwi.nl

The Distributed and Interactive Systems (DIS) group from CWI: Future multimedia systems will be intelligent and empathic, capable of understanding the user and the environment. Extending techniques from distributed networking and contextual modeling, the DIS group adapts and extends traditional research on multimedia systems from this new perspective. Our research questions not only address how fast bits are delivered, but also how well they are utilized. We combine data science with a strong human-centric, empirical approach. This results in a full-stack methodology that enables us to bridge socio-technical gaps in society and science, by instrumenting the appropriate infrastructures and communication protocols using realistic testing grounds. The group enjoys a number of fruitful partnerships with companies and organizations in the areas of creative industries and smart cities. More information: http://www.dis.cwi.nl