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  2. Technische Universiteit Delft (TUD)
  3. Postdoc: Robust Deep Sensor Fusion for Human-Robot Interaction

Postdoc: Robust Deep Sensor Fusion for Human-Robot Interaction

The project aims to develop novel approaches for fusing information extracted using various sensors, leading to more accurate perception and cognition, while …

6 dagen geleden

Arbeidsvoorwaarden

Standplaats:
Mekelweg, Delft, Zuid-Holland
Dienstverband:
Tijdelijk contract / Tijdelijke opdracht
Uren per week:
38 - 38 uur
Salarisindicatie:
€ 3255 - € 4274 per maand
Opleidingsniveau:
Postdoctoraal

Functieomschrijving

The project aims to develop novel approaches for fusing information extracted using various sensors, leading to more accurate perception and cognition, while taking into account that for various control tasks compact and efficient representations are needed. A lot of sensor information is redundant, but each type of sensor has its respective strong and weak points. For instance, a laser range finder and a camera can both detect obstacles. The camera has significantly richer information but will fail in the dark. We will focus on training deep models that fuse sensor information that automatically copes with such failure cases by switching focus to the appropriate modality. The goal is to develop multi-modal human centric perception and cognition approaches and to employ them in human-robot interaction tasks.

This vacancy is part of the project Open Deep Learning Toolkit for Robotics (OpenDR). The aim of OpenDR is to develop a modular, open and non-proprietary deep learning toolkit for robotics. We will provide a set of software functions, packages and utilities to help roboticists develop and test robotic applications that incorporate deep learning. OpenDR will enable linking robotics applications to software libraries such as TensorFlow and the ROS operating environment. We focus on the AI and cognition core technology in order to give robotic systems the ability to interact with people and environments by means of deep-learning methods for active perception, cognition and decisions making. OpenDR will enlarge the range of robotics applications making use of deep learning, which will be demonstrated in the applications areas of healthcare, agri-food and agile production. The project is funded by the EU Horizon 2020 program, call H2020-ICT-2018-2020 (Information and Communication Technologies), 2019 – 2022.

Functie-eisen

We are looking for a candidate with a PhD degree in systems and control, robotics, applied mathematics, artificial intelligence, machine learning, or a related subject. The candidate must have strong analytical skills and must be able to work at the intersection of several research domains. Experience with real robot applications is a plus. The applicant should have demonstrated ability to conduct high-quality re-search according to international standards, as demonstrated by publications in international, high-quality journals. A very good command of the English language is required, as well as excellent communication skills.

Conditions

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.

TU Delft creates equal opportunities and encourages women to apply.     

Additional information

If you have specific questions about this position, please contact Dr. Jens Kober, e-mail: J.Kober@tudelft.nl or Prof. Robert Babuska, email: R.Babuska@tudelft.nl . Please do not send application emails here, but use the specified address below.

To apply, please prepare:

  • a cover letter
  • a separate letter of motivation explaining why you are the right candidate for this project,
  • a detailed CV,
  • electronic copies of your top three publications,
  • a summary of your PhD thesis,
  • the names and contact addresses of two or three references,
  • any other information that might be relevant to your application.

All these items should be combined in one PDF document. Applications should be submitted by email at the earliest convenience to application-3mE@tudelft.nl. When applying for this position, please refer to vacancy number 3mE19-85. The review of applications will start on November 1st 2019 and continue until the position is filled. The intended starting date is January 1st 2020.

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