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PhD position in computer vision for DeepFake detection - Applied Mathematics, Computer Vision

School/Institution:University of Luxembourg, Luxembourg, Luxembourg

Discipline: Applied Mathematics, Computer Vision

Employment Type:Full-time

Posted:2021-10-10

Contact Person:If you wish to apply for this position, please specify that you saw it on AKATECH.tech

JOB DESCRIPTION

SnT is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role in Luxembourg by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent.

We offer an attractive PhD position in close cooperation with our industrial partner POST Group. POST Group is one of the largest employers in Luxembourg. It has a well-established reputation and is firmly rooted in Luxembourg. It is also an innovative company that adopts an open-minded approach to the world thanks to its constantly evolving activities (www.postgroup.lu/home).

The successful candidate will join the Computer Vision, Machine Intelligence and Imaging (CVI²) research group (http://cvi2.uni.lu) headed by Prof. Djamila Aouada to pursue a PhD in the field of Computer Vision.

The candidate will carry out research in predefined topics contributing to SnT and POST R&D activities. This position will require conducting full scale research, starting from reviewing state-of-art methods through real-time implementation, and experimental validation.

We’re looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you, you’ve come to the right place!

Your Role

The position holders will be required to perform the following tasks:

  • Carrying out research in a predefined topic and producing results
  • Disseminating results through scientific publications and/or patents
  • Providing support in setting-up and running experiments
  • Proposing and implementing real-time solutions
  • Participating in organizing relevant workshops and demonstrations

Your Profile

  • A master’s degree in Electrical Engineering, Computer Science, Applied Mathematics or a related field
  • Strong background in image/signal processing and in particular 3D computer vision
  • Strong programming skills in Python/C/C++
  • Familiarity with machine learning and deep learning concepts
  • Experience with at least one of the following deep learning frameworks: TensorFlow, PyTorch, Keras, etc.
  • Strong background in Mathematics
  • A particular interest in DeepFake and DeepFake detection approaches
  • Commitment, team working and a critical mind
  • Fluent written and verbal communication skills in English are mandatory

Here’s what awaits you at SnT

  • A stimulating learning environment. Here post-docs and professors outnumber PhD students. That translates into access and close collaborations with some of the brightest ICT researchers, giving you solid guidance
  • Exciting infrastructures and unique labs. At SnT’s two campuses, our researchers can take a walk on the moon at the LunaLab, build a nanosatellite, or help make autonomous vehicles even better
  • The right place for IMPACT. SnT researchers engage in demand-driven projects. Through our Partnership Programme, we work on projects with more than 45 industry partners
  • Multiple funding sources for your ideas. The University supports researchers to acquire funding from national, European and private sources
  • Competitive salary package. The University offers a 12 month-salary package, over six weeks of paid time off, health insurance and subsidised living and eating
  • Be part of a multicultural family. At SnT we have more than 60 nationalities. Throughout the year, we organise team-building events, networking activities and more

But wait, there’s more!

  • Complete picture of the perks we offer
  • Discover our Partnership Programme
  • Download the brochure: Why choose SnT for your PhD?

Students can take advantage of several opportunities for growth and career development, from free language classes to career resources and extracurricular activities.

In Short

  • Contract Type: Fixed Term Contract 36 Month - extendable up to 48 months if required
  • Work Hours: Full Time 40.0 Hours per Week
  • Location: Kirchberg
  • Employee and student status
  • Job Reference: UOL04401

Further Information

Applications, written in English should be submitted online and should include:

  • A full Curriculum Vitae
  • List of three referees, including details (name, email address, etc.)
  • Publication list, if any
  • Transcript of all modules and results from university-level courses taken
  • Research statement and topics of particular interest to the candidate (300 words)
  • Preferably, a Github/Gitlab webpage listing completed projects in Computer Vision

Early application is highly encouraged, as the applications will be processed upon reception. Please apply formally through the HR system. Applications by email will not be considered.

The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.

About the University of Luxembourg

University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The University was founded in 2003 and counts more than 6,700 students and more than 2,000 employees from around the world.

The University’s faculties and interdisciplinary centres focus on research in the areas of Computer Science and ICT Security, Materials Science, European and International Law, Finance and Financial Innovation, Education, Contemporary and Digital History. In addition, the University focuses on cross-disciplinary research in the areas of Data Modelling and Simulation as well as Health and System Biomedicine. Times Higher Education ranks the University of Luxembourg #3 worldwide for its “international outlook,” #20 in the Young University Ranking 2021 and among the top 250 universities worldwide.

Further information

For further information you may check: www.securityandtrust.lu or contact Djamila.Aouada@uni.lu

JOB DETAILS

Title: PhD position in computer vision for DeepFake detection

Employer: University of Luxembourg

Job location: 6, rue Richard Coudenhove-Kalergi, L-1359 Luxembourg

Job types: PhD

Fields: Programming Languages,   Applied Mathematics,   Electrical Engineering,   Computational Sciences,   Machine Learning,   Computer Vision

Contact Person: If you wish to apply for this position, please specify that you saw it on AKATECH.tech

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