PhD Student

Last application date
Oct 31, 2022 00:00
Department
TW06 - Department of Electronics and Information Systems
Contract
Limited duration
Degree
Master’s degree or equivalent in Engineering (at the latest by the end of 2022), in any of the following branches: Computer Science, Telecommunications, Electronics, Audio Engineering, Acoustics or equivalent.
Occupancy rate
100%
Vacancy type
Research staff

Job description

Phd vacancies in deep-learning based audio and speech processing

About the university

Ghent University is one of the major universities in Belgium and enjoys high rankings in international surveys (71 according to the Shanghai Academic Ranking of World Universities, 96 according to the Times Higher Education (THE) World Universities Ranking). Our 11 faculties offer a wide range of courses and conduct in-depth research in a wide range of scientific domains.

About the positions

The advertised positions are in the field single- and multi-channel audio enhancement, researching novel algorithms and architectures for the restoration of degraded audio in applications ranging from telecommunications to healthcare. Specifically, research is situated at the cusp of signal processing and machine learning, the goal being a harmonious marriage of classical, model based and current data-driven approaches.

Some recent work of my group may be found here: https://biblio.ugent.be/person/4118DE52-A6F4-11E7-8878-09B7AD28A064
For more tangible demonstrations, please see:

  1. https://yanjuesong.github.io/Improved-CEM-samples/
  2. https://users.ugent.be/~abohlend/DOA-GSS/

I am seeking to fill several open, fully funded PhD positions in my group “Audio, Speech and Signal Processing”, which is situated within the Internet and Data Sciences Lab (IDLab) of Ghent University, Belgium.

What we offer:

  • A full-time PhD scholarship for 4 years (coupled to a positive evaluation after the first year).
  • A pleasant work climate and collegial atmosphere in an international and interdisciplinary research team.
  • Support by experienced (international) researchers.
  • A number of benefits, such as a wide range of training and education opportunities, 35 days of holiday leave (on an annual basis for a full-time job), supplemented by annual fixed bridge days, a bicycle allowance and eco vouchers. For a complete overview of all the staff benefits please see: https://www.ugent.be/nl/vacatures/personeelsvoordelen.htm (in Dutch).

Job profile

The ideal candidate should have an excellent background in statistical signal processing, and an active interest in the practical aspects of audio processing.

We value candidates with:

  • A Master’s degree or equivalent in Engineering (at the latest by the end of 2022), in any of the following branches: Computer Science, Telecommunications, Electronics, Audio Engineering, Acoustics or equivalent.
  • Robust knowledge of statistical signal processing principles and its applications to audio.
  • Excellent knowledge and experience in Python programming. Knowledge of real-time programming and C/C++ is a plus.
  • Some knowledge of deep learning. Prior experience with frameworks such as Tensor Flow and/or PyTorch is a big plus.
  • Interest in real-time audio processing.
  • Excellent communication skills and proficiency in written and oral English.
  • A problem-solving, proactive mindset and a co-operative attitude.

How to apply

Interested?

The positions are open and immediately available. We will review applicants on a rolling basis until we find the best candidates. However, we set a final application deadline for the end of October 2022.

Your application must include the following documents:

  • CV and an overview of your study results
  • Application/motivation letter (max 2 pages)
  • Transcript of the required degree (if already in your possession). If you have a foreign diploma in a language other than our national languages (Dutch, French or German) or English, please add a translation in one of the mentioned languages.
  • An overview of your study results (bachelor’s and master’s)
  • You may also add other relevant documents such as references, certificate of employment, etc.

Please send your completed application (as a single pdf file, maximum size of 10MB) to Prof. Nilesh Madhu (nilesh.madhu@ugent.be). Please set the subject of your email as “Application: ”.

Ghent University maintains an equal opportunities and diversity policy, so we encourage applications from qualified individuals from all backgrounds.

For further enquiries, please feel free to contact me at Nilesh.madhu@ugent.be