2 PhDs: Machine Learning for Social & Affective Computing

Department/faculty: Electrical Engineering, Mathematics and Computer Science
Level: Master degree
Working hours: 38 hours per week
Contract: 4 years
Salary: €2222 to €2840 per month gross

Electrical Engineering, Mathematics and Computer Science

The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) is known worldwide for its high academic quality and the social relevance of its research programmes. The faculty’s excellent facilities accentuate its international position in teaching and research. Within this interdisciplinary and international setting the faculty employs more than 1100 employees, including about 400 graduate students and about 2100 students. Together they work on a broad range of technical innovations in the fields of sustainable energy, telecommunications, microelectronics, embedded systems, computer and software engineering, interactive multimedia and applied mathematics.
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The Department of Intelligent Systems is part of the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) at Delft University of Technology. The faculty offers an internationally competitive interdisciplinary setting for its 500 employees, 350 PhD students and 1700 undergraduates. Together they work on a broad range of technical innovations in the fields of sustainable energy, quantum engineering, microelectronics, intelligent systems, software technology, and applied mathematics.


The Pattern Recognition and BioInformatics Group is one of five groups in the department, consisting of seven faculty members and over 20 post-doc and PhD students. Within this group, research is carried out in three core subjects: pattern recognition, computer vision, and bioinformatics. One of the main focuses of the group is on developing tools and theories, and gaining knowledge and understanding applicable to a broad range of general problems, but typically involving sensory data, e.g. time signals, images, video streams, or other physical measurement data.

Job description

An important but under-explored problem in computer science is the automated analysis of conversational dynamics in large, unstructured social gatherings such as networking or mingling events. Unlike analysing small, pre-arranged conversations, during mingling, sensor data is seriously contaminated. Moreover, determining who is talking with whom is difficult because groups can split and merge at will. A fundamentally different approach is needed to handle both the complexity of the social situation as well as the uncertainty of the sensor data.

The successful applicants will develop automated techniques to analyse multi-sensor data (video, acceleration, audio, etc.) of human social behaviour. For information about the TU Delft Graduate School, please visit www.phd.tudelft.nl.

Requirements

We are looking for students who have recently completed or expect to complete very soon an MSc or equivalent degree in computer science, electrical/electronic engineering, applied mathematics, applied physics, or a related discipline. Experience in some or all of the following or related fields are preferred: audio/signal processing, computer vision, embedded sensing, machine learning, and pattern recognition.

The successful applicants will have:
• good programming skills;
• curiosity and analytical skills;
• the ability to work in a multi-disciplinary team;
• motivation to meet deadlines;
• an affinity for the relevant social science research;
• good spoken and written communication skills;
• an interest in communicating their research results to a wider audience;
• proficiency in English.
  

Conditions of employment

The TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment; an excellent team of supervisors, academic staff and a mentor; and a Doctoral Education Programme aimed at developing your transferable, discipline-related and research skills. Please visit http://graduateschool.tudelft.nl/ for more information.

Information and application

For more information about this position, please contact Hayley Hung, h.hung@tudelft.nl. Interested applicants should send an up-to-date curriculum vitae, letter of application, and the names and the contact information (telephone number and email address) of two references to Dr. Hayley Hung, Hr-eemcs@tudelft.nl with the subject heading '[MINGLE PhD]'. The letter of application should summarise (1) why the applicant wants to do a PhD, (2) why the project is of interest to the applicant, (3) evidence of suitability for the job, and (4) what the applicant hopes to gain from the position.

The application procedure is ongoing until the position is filled, so interested candidates are encouraged to apply as soon as possible and before August 31, 2017. Note that candidates who apply after this deadline may still be considered but applications before the deadline will be given priority.

When applying for this position, please refer to vacancy number EWI2017-21.


Enquiries from agencies are not appreciated.


Factsheet

Department/faculty
Electrical Engineering, Mathematics and Computer Science
Level
Master degree
Working hours
38
Location
Delft
Contract
4 years
Salary
€2222 to €2840 per month gross

Closing date
Aug. 31, 2017
Vacancy nr.
EWI2017-21


Information

For more information about this job, please contact Hayley Hung, Assistant Professor.

T N/A
E h.hung@tudelft.nl

For more information about the application procedure, please contact E.C.L. Turlings/HR.

E Hr-eemcs@tudelft.nl


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