TU Delft

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Originele vacaturetekst

Assistant Professor or Associate Professor Data Fusion for Intelligent Vehicles

Faculty Mechanical, Maritime and Materials Engineering

The Faculty of 3mE carries out pioneering research, leading to new fundamental insights and challenging applications in the field of mechanical engineering. From large-scale energy storage, medical instruments, control technology and robotics to smart materials, nanoscale structures and autonomous ships. The foundations and results of this research are reflected in outstanding, contemporary education, inspiring students and PhD candidates to become socially engaged and responsible engineers and scientists. The faculty of 3mE is a dynamic and innovative faculty with an international scope and high-tech lab facilities. Research and education focus on the design, manufacture, application and modification of products, materials, processes and mechanical devices, contributing to the development and growth of a sustainable society, as well as prosperity and welfare.

Click here to go to the website of the Faculty of Mechanical, Maritime and Materials Engineering.

Functie omschrijving

The Cognitive Robotics department at TU Delft seeks to fill a faculty position in the area of data fusion for intelligent vehicles at the level of Assistant (tenure-track) or Associate Professor (tenured). The position covers multi-modal sensor processing (e.g. vision, radar, LiDAR, GNSS/INS) for on-board environment perception and localization/mapping, in complex and dynamic environments (e.g. urban traffic). Specific topics of interest include:

  • Object detection (position, pose and shape estimation)

  • Environment representation (e.g. sensor-level, grid-level, object-level)

  • Multi-target tracking

  • Simultaneous localization and mapping (SLAM)

  • Distributed sensing

  • Life-long mapping of large scale environments

  • Statistical methods and machine learning incl. deep learning

  • Heterogeneous and temporal data fusion.

The Cognitive Robotics department has the mission to develop intelligent robots and vehicles that will advance mobility, productivity and quality of life. The department combines fundamental research with work on physical demonstrators in areas such as self-driving vehicles, collaborative industrial robots, mobile manipulators and haptic interfaces. Of special interest are robotic solutions for complex, human-inhabited environments. Collaborations exist with cross-faculty institutes (TU Delft Robotics Institute and TU Delft Transport Institute), the national robotic ecosystem (RoboValley, Holland Robotics) and international academia and industry.
The faculty opening is within the Intelligent Vehicles group; it focuses on methods for environment perception, dynamics and control and human factors in the context of automated driving.
For more information, see Cognitive Robotics (CoR) and Intelligent Vehicles.

Functie eisen

Applicants should have the following qualifications:

  • PhD degree in Computer Science, Artificial Intelligence, Electrical/Mechanical Engineering, or related discipline. Experience in robotics and/or intelligent vehicles is an asset

  • Experience as a Post-Doc/Assistant Professor

  • Excellent track record in scientific research, as evident from publications in top-tier conferences and journals

  • Proven ability to provide inspiring teaching at both undergraduate and graduate levels (in English)

  • High motivation to pursue and establish an own research direction within an interdisciplinary environment

  • Organizational and managerial skills to interact and cooperate effectively with staff and other research institutes and organizations, including industry

  • Experience in the acquisition of external funding.


A tenure track position is offered for a maximum of six years. Tenure Track is a process leading up to a permanent appointment with the prospect of becoming an Associate Professor. During the Tenure Track, you will have the opportunity to develop into an internationally acknowledged and recognized academic. To support that, we offer a structured career and personal development programme, which accounts for individual needs and preferences. For more information about the tenure track and the personal development program, please visit www.tudelft.nl/tenuretrack.
Based on performance indicators agreed upon at the start of the appointment, a decision will be made at the end of the fifth year whether to offer you a permanent faculty position. The salary for a Tenure Track (Assistant Professor) position is min. €3637 to max. €6738 per month gross. For exceptionally strong candidates, a shortened tenure track period or Associate Professor position can be considered.
For an Associate Professor position different terms of employment apply. Depending on background and experience, the salary can range from min. €4.911 to max. €6.567 per month gross. All salaries mentioned are based on full time contracts.
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. The TU Delft offers trainings to improve English and Dutch language competencies.
Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
TU Delft creates equal opportunities and encourages women to apply.

Informeren en solliciteren

For more information about this position, please contact Prof. D.M. Gavrila (email: d.m.gavrila@tudelft.nl).


To apply, please submit (in one single pdf file):

  • a motivation letter,

  • a detailed CV,

  • a research and teaching statement,

  • electronic copies of your top three publications, and

  • contact data of three references.

Applications should be submitted to Application-3mE@tudelft.nl, referring to vacancy number TUD00100 in the subject of the email. Application deadline is 01 September 2020.

Acquisitie naar aanleiding van deze vacature wordt niet op prijs gesteld.

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