[agents] 2 PhD positions in Data-Driven Multi-Modal Human-Robot Interaction at TU Delft

Thu Sep 9 06:39:35 EDT 2021

Job description
One of the most pressing matters that holds back robots from taking on more tasks and reach a widespread deployment in society is their limited ability to understand human communication and take situation-appropriate actions. This PhD position is dedicated to addressing this gap by developing the underlying data-driven models that enable a robot to engage with humans in a socially aware manner.
In order to support long-term interaction, robots need rich models of interaction that include their social context and allow them to act appropriately when faced with uncertainty. Humans use a range of verbal and non-verbal cues to regulate their interactions and are able to adapt how they communicate and cooperate to fit the needs and preferences of their interaction partners. Personalization and adaptation is needed to enable robots to assist people with varying backgrounds and abilities.
The successful applicant will develop machine-learning based and knowledge modelling techniques applied to multi-sensor data (video, audio etc.) of human behaviour that address both the complexity of the multi-modal nature of interactions and uncertainty regarding the sensor data and social situation.The applicant will design and run the experiments to evaluate the created hybrid-AI models through human-robot interaction.

Topics of interest:
1) long-term human-robot interaction
2) affective computing
2) NLP&argument-mining
3) planning & learning for HRI
4) assistive robotics

One Phd candidate will be supervised by Dr. Frank Broz and Prof. Mark Neerincx, focusing on planning and learning for long-term HRI. The other PhD candidate focused more on the NLP aspects of long-term human-robot interaction will carry out his/her PhD studies in the context of the Designing Intelligence Lab (www.di-lab.space<http://www.di-lab.space>), which is a inter-disciplinary lab between Computer Science and Industrial Design Engineering. The candidate will be supervised by Dr. Catharine Oertel Prof. Catholijn Jonker and will collaborate with design colleagues in the context of the DI lab.

To strengthen the social robotics strand of the Interactive Intelligence Group at TU-Delft these two positions are currently available with potential for collaboration.  If you're interested in either vacancy please have a look at: 

 PhD position in Data-Driven Multi-Model Human-Robot Interaction.<https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details?jobId=3847&jobTitle=PhD%20position%20in%20Data-Driven%20Multi-Modal%20Human-Robot%20Interaction>

PhD position for Data-Driven Multi-Modal Human-Robot Interaction within DI Lab<https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details?jobId=3779&jobTitle=PhD%20position%20for%20Data-Driven%20Multi-Modal%20Human-Robot%20Interaction%20within%20DI%20lab>

Requirements
MSc in Computer Science or related field
At least 3 years of programming experience in python (java  or C++is a plus)
Motivation to meet deadlines
Affinity to design and social science research
Interest in collaborating with colleagues from Industrial Design (DI lab)
Willingness to teach and guide students (DI lab)
The ability to work in a team, take initiative, be results oriented and systematic

Conditions of employment
TU Delft offers PhD-candidates a 4-year contract, with an official go/no go progress assessment after one year. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2395 per month in the first year to € 3061 in the fourth year. As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills.
The TU Delft offers a customisable compensation package, discounts on health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. For international applicants we offer the Coming to Delft Service and Partner Career Advice to assist you with your relocation.

TU Delft (Delft University of Technology)
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context. At TU Delft we embrace diversity and aim to be as inclusive as possible (see our Code of Conduct<https://www.tudelft.nl/en/about-tu-delft/strategy/integrity-policy/tu-delft-code-of-conduct/>). Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale.
Challenge. Change. Impact! 

Faculty Electrical Engineering, Mathematics and Computer Science
The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three disciplines - electrical engineering, mathematics and computer science. Combined, they reinforce each other and are the driving force behind the technology we use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make future-proof. We are also working on a world in which humans and computers reinforce each other. We are mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. There is plenty of room here for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1,100 employees and 4,000 students work and study in this innovative environment.
Click here<https://www.tudelft.nl/en/eemcs/the-faculty/> to go to the website of the Faculty of Electrical Engineering, Mathematics and Computer Science.

Additional information
The application procedure is 'ongoing until the position is filled so interested candidates are encouraged to apply as soon as possible and before September 20th 2021. Note that candidates who apply after the deadline may still be considered but applications before the deadline will be given priority. For further info on the content of the position please contact Dr. Catharine Oertel: C.R.M.M.Oertel at tudelft.nl<mailto:C.R.M.M.Oertel at tudelft.nl> or Dr. Frank Broz: F.Broz at tudelft.nl<mailto:F.Broz at tudelft.nl>

Application procedure
Interested applicants should include an up-to-date curriculum vitae, letter of motivation and the names and contact information (telephone number and email address) of two references.
The letter of application should summarise (i) why the applicant wants to do a PhD, (ii) why the project is of interest to the applicant, (iii) evidence of suitability for the job, and (iv) what the applicant hopes to gain from the position

Please apply before September 20, 2021 via the application website.

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A pre-employment screening can be part of the selection procedure.
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You can apply online. We will not process applications sent by email and/or post.
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Acquisition in response to this vacancy is not appreciated.

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