Eindhoven University of Technology

PhD position in AI-based Multi-modal Sensor Data Analysis

2024-04-28 (Europe/Amsterdam)
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Position PhD-student

Irène Curie Fellowship No

Department(s) Electrical Engineering

FTE 1,0

Date off 28/04/2024

Reference number V36.7342

Job description

The PhD candidate will work within an international research project SINTRA in cooperation with industrial partners from Netherlands, Finland, Belgium and Turkey. The general goal of the project is to enable safety and security of critical infrastructure (harbours, airports, power plants) by multi-modal sensing and AI data analysis. The PhD candidate will perform research with potential deployment of results in industrial products of Bosch, ViNotion and Sorama.

The goal of the PhD candidate is to research and develop AI models that can accurately detect the following threats and suspicious events at harbours and airports: drug-, human- trafficking, large scale burglary and infrastructure attacks. For detection of such complex threats, multi-modal sensor types will be installed at Port of Moerdijk: visual, acoustic, thermal, multi-spectral, etc. The research goal is to learn how to combine this data in AI models to extract the criminal traces and anomalies from the data streams, combine the data and provide reliable detections.

Job requirements

For this project, a candidate with MSc degree in Electrical or Computer Engineering will be selected and hired as a doctoral student in the Signal Processing Systems/VCA group for a 4-year period. The candidate should have strong background knowledge in image processing domain and excellent programming skills. More specifically, the candidates should have experience in object detection, segmentation and classification. Experience with anomaly detection on large set of data, Transformers, CNNs, CLIP is highly desired. Knowledge of deep learning algorithms is a prerequisite. Candidates should be excellent in academic writing, should have good communication skills and should be able to cooperate in a multidisciplinary team.

Conditions of employment

A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:

  • Full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months. You will spend 10% of your employment on teaching tasks.
  • Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. €2,770 max. €3,539).
  • A year-end bonus of 8.3% and annual vacation pay of 8%.
  • High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
  • An excellent technical infrastructure, on-campus children's day care and sports facilities.
  • An allowance for commuting, working from home and internet costs.
  • Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.

Information and application

The PhD student will be working in the Video Coding Architecture group (http://vca.ele.tue.nl ) in the Department of Electrical Engineering at TU/e. The Department of Electrical Engineering is one of the nine departments of the Eindhoven University of Technology and provides BSc and MSc programs in Electrical Engineering. The department has nine research groups and has research collaborations with other departments at the Eindhoven University of Technology as well as with a large number of other universities and companies, both within The Netherlands and internationally. The Electrical Engineering  faculty  has  approximately 300 employees and 1.000 students. 

Information

Do you recognize yourself in this profile and would you like to know more?
Please contact the hiring manager dr.ir. Egor Bondarev, e.bondarev@tue.nl.

Visit our website for more information about the application process or the conditions of employment. You can also contact HRServices.flux@tue.nl.

Are you inspired and would like to know more about working at TU/e? Please visit our career page.

Application

We invite you to submit a complete application by using the apply button.
The application should include a:

  • Cover letter in which you describe your motivation and qualifications for the position.
  • Curriculum vitae, including a list of your publications and the contact information of three references.

We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.

Informatie over de vacature

Functienaam
PhD position in AI-based Multi-modal Sensor Data Analysis
Locatie
De Zaale Eindhoven, Nederland
Gepubliceerd
2024-03-21
Uiterste sollicitatiedatum
2024-04-28 23:59 (Europe/Amsterdam)
2024-04-28 23:59 (CET)
Soort functie
PhD
Baan opslaan

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Over de werkgever

We are an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude.

De pagina van de werkgever bekijken

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