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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
In this project, you will develop state-of-the-art deep learning techniques to exploit camera and lidar sensor data with minimal human data annotation effort. Learning from unannotated sensor data facilitates integrating new sensors in intelligent vehicles, and efficiently mapping and adapting to new urban regions. To deal with a lack of annotations, we pursue self-supervised and weakly-supervised techniques that can exploit sensor data from complementary viewpoints, e.g. from ground-level vehicle sensors with aerial imagery from geoinformatics sources. Applications include reconstructing static 3D urban structures, and segmenting the dynamic objects.
The host research group – the Intelligent Vehicles group - focuses on environment perception, dynamics & control, and interaction with humans for intelligent vehicles and automated driving in complex unstructured urban environments. The group is part of the Cognitive Robotics department at the 3ME Faculty, which aims 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.
The new AI lab on 3D Understanding (3DUU) initiated by the 3D Geoinformation Research Group and the Intelligent Vehicles Group is one of the Delft Artificial Intelligence Labs (DAI-Labs). It is a cross-disciplinary research lab seeking to develop state-of-the-art AI techniques for interpreting 3D data and reconstructing 3D objects for large-scale urban applications.
3DUU is a Delft Artificial Intelligence Lab (DAI-Lab). Artificial intelligence, data, and digitalization are becoming increasingly important when looking for answers to major scientific and societal challenges. In a DAI-lab, experts in ‘the fundamentals of AI technology’ along with experts in ‘AI challenges’ run a shared lab. As a PhD, you will work with at least two academic members of staff and three other PhD candidates. In total, TU Delft will establish 24 DAI-Labs where 48 Tenure Trackers and 96 PhD candidates will have the opportunity to push the boundaries of science by using AI. Each team is driven by research questions that arise from scientific and societal challenges and contribute to the development and execution of domain-specific education. Instead of the usual 4-year contract, you will receive a 5-year contract. Approximately a fifth of your time will be allocated to developing ground breaking learning materials and educating students in these new subjects. The experience you will gain by teaching will be invaluable for future career prospects. All team members have many opportunities for self-development. You will be a member of the thriving DAI-Lab community that fosters cross-fertilization between talents with different expertise and disciplines.
TU Delft offers DAI-Lab PhD-candidates a 5-year contract (as opposed to the normal 4-years), with an official go/no go progress assessment after one year. Approximately a fifth of your time will be allocated to developing ground breaking learning materials and educating students in these new subjects.
Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2395 per month in the first year to € 3217 in the fifth 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.
For information about this vacancy or the selection procedure, you can contact Julian Kooij, Assistant Professor, email: J.F.P.Kooij@tudelft.nl.
To apply, please prepare:
All these items should be combined in one PDF document. Please email your application to Hilma Bleeker, email: application-3mE@tudelft.nl by July 17th. When applying for this position, please refer to the vacancy number TUD00272.
A pre-employment screening can be part of the application procedure.
Acquisitie naar aanleiding van deze vacature wordt niet op prijs gesteld.
Uren per week: 38.0 uur per week