ORGANISATION/COMPANYDelft University of Technology (TU Delft)
RESEARCHER PROFILEFirst Stage Researcher (R1)
APPLICATION DEADLINE11/07/2020 01:59 - Europe/Brussels
LOCATIONNetherlands › Delft
TYPE OF CONTRACTTemporary
HOURS PER WEEK40.0
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. In this PhD project you will be working on solving exciting and challenging 3D modelling problems by developing and applying AI technologies. Specifically, this project aims to develop robust and efficient AI-based methods to automatically identify, analyze, process, and model complex 3D objects (e.g., buildings, trees) in the urban environment. The host research group - 3D Geoinformation Research Group - is part of the Faculty of Architecture and the Built Environment at TU Delft and focuses on the technologies underpinning geographical information systems (GIS). It aims to design, develop, and implement better systems to model 3D cities, buildings, and landscapes. It is a multidisciplinary group of approximately 20 people, including computer scientists, geomatics engineers, and geographers. It has a history of successful collaborations with industry and the government, with research that has led to open source software, standards, and patents for the management of 3D geographic information.
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.
To apply, please prepare:
- a detailed CV including a list of publications. Please highlight examples of projects and achievements that demonstrate your relevant competencies;
- a 1-page motivation letter addressing your interests and describing how your experience and plans fit with the advertised position;
- name of two references, with contact information;
- MSc thesis or any publications you have authored (a URL to a PDF is fine);
- proof of experiences (e.g., transcript of records) in subjects such as computer vision, machine/deep learning, linear algebra, calculus, and numerical/convex/discrete optimization.
All documents should be in PDF format and are archived into a single ZIP file named: lastname_firstname_TUD00240.zip. Please email your application material to both Jeannine Wellink (HR Advisor) (email@example.com) and Liangliang Nan (firstname.lastname@example.org) and refer to vacancy number TUD00240 in your email title.
- Submission of the required documents
- A first-round selection (based on the submitted documents)
- Technical interview
- Presentation and final interview
- Decision made within one week after the final interview
- Offer made by the faculty
A pre-employment screening can be part of the application procedure.
For information about this vacancy or the selection procedure, you can contact Liangliang Nan, Assistant Professor, email: email@example.com.
Web site for additional job details
- Completed an MSc degree in computer science, applied mathematics, or in a related discipline relevant to the PhD topic;
- Strong interests and expertise in machine learning (in particular deep learning), 3D modelling and/or geometry processing, preferably with a strong publication record;
- An affinity with teaching and guiding students;
- Excellent C++ and/or Python programming skills;
- The ability to work in a team, take initiative, be result oriented, organized and creative.
- Good command of verbal and written English.
EURAXESS offer ID: 530796
Posting organisation offer ID: 292378
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