根特大学PhD position in Department of Information Technology申请条件要求-申请方

PhD position in Department of Information Technology

PhD直招2026秋季

申请时间：2026.06.01截止

报名

主办方

根特大学

PhD直招介绍

Last application date Jun 01, 2026 23:59

Department TW05 - Department of Information Technology

Degree Master’s degree in engineering sciences or informatics (biomedical engineering, computer science, information technology, electrical engineering, acoustics)

Occupancy rate 100%

Vacancy type Research staff

ABOUT GHENT UNIVERSITY
Ghent University is a world of its own. Employing more than 15.000 people, it is actively involved in education and research, management and administration, as well as technical and social service provision on a daily basis. It is one of the largest, most exciting employers in the area and offers great career opportunities.
With its 11 faculties and more than 85 departments offering state-of-the-art study programmes grounded in research in a wide range of academic fields, Ghent University is a logical choice for its staff and students.

YOUR TASKS
The Hearing Technology Lab of iBME is recruiting a predoctoral researcher in engineering for the European Research Council-funded project InSilicoEars. This project aims to harness the unique properties of human auditory processing to develop a new generation of personalized audio solutions that perform robustly in complex, noisy environments. InSilicoEars integrates state-of-the-art machine learning approaches in audio signal processing, such as dCoNNear, with auditory neuroscience data from both normal and impaired hearing. The goal is to build a comprehensive suite of biophysical auditory system models that will drive the development of next-generation, personalized, and bio-inspired audio technologies.

Your role is to leverage biophysical auditory models within DNN-based closed-loop systems to develop novel machine-learning approaches for personalized and augmented hearing. You will refine these methods using available neuroscience data and conduct rigorous objective and technical evaluations, including benchmarking against relevant challenges. You will also optimize computational performance to enable real-time processing and develop hardware demonstrators. In addition, you will design and conduct sound perception and listening experiments with human participants to validate the proposed approaches. Supporting clinical studies to assess the effectiveness of these technologies will form an integral part of your responsibilities. Throughout these activities, you will collaborate closely with other members of the InSilicoEars team, including biomedical engineers and audiologists. The ultimate goal of your research is to obtain doctoral degree at the faculty of Engineering and Architecture from Ghent University.

The Hearing Technology Lab at Ghent University is led by Prof. Verhulst and currently hosts a team of 10 researchers. The lab develops pioneering, multi-method approaches to unravel the mechanisms of hearing loss, build biophysically inspired auditory models, and apply innovative machine learning techniques to advance next-generation audio processing. The lab is equipped with 6–8 local GPUs, multiple CPU servers, and extensive storage capacity, as well as access to UGent’s high-performance computing clusters. Additional support is provided by the SOUNDlab core facility, which offers soundproof booths and integrated EEG and auditory perception setups. The team has a strong track record in research valorization, translating scientific findings toward clinical and market applications, with dedicated support from the university’s technology transfer office. More information about the project, the lab, and recent publications can be found here:
https://cordis.europa.eu/project/id/101232287
https://www.waves.ugent.be/hearing-technology
https://www.ugent.be/ea/ibme/en/research/hearing-technology
https://scholar.google.com/citations?user=gm5wuzUAAAAJ&hl=nl

根特大学 PhD position in Department of Information Technology项目有没有奖学金，是不是全奖Phd招生，下面我们一起看一下【大学名称】Phd的奖学金资助情况

项目资助情况

WHAT WE CAN OFFER YOU

We offer a full-time position as a doctoral fellow, consisting of an initial period of 12 months, which - after a positive evaluation, will be extended to a total maximum of 48 months. Funding for the full 48-month period is available through the ERC-InSilicoEars project, provided the positive evaluation at month 12. 

Your contract will start on September 1st 2026 at the earliest. 

The fellowship amount is 100% of the net salary of an AAP member in equal family circumstances. The individual fellowship amount is determined by Team Personnel Administration based on family status and seniority. A grant that meets the conditions and criteria of the regulations for doctoral fellowships is considered free of personal income tax. Click here for more information about our salary scales( https://www.ugent.be/en/work/scientific/doctoral-fellow-102/resolveuid/d98a767eb80d4deba2625ca27c40ce15 ) 

All Ghent University staff members enjoy a number of benefits, such as a wide range of training and education opportunities, 36 days of holiday leave (on an annual basis for a full-time job) supplemented by annual fixed bridge days, bicycle allowance and eco vouchers. Click here for a complete overview of all the staff benefits( https://www.ugent.be/en/work/scientific/doctoral-fellow-102/resolveuid/3ecc37e898fa4b5289bad0a7c468d635 ).

根特大学Phd申请条件和要求都有哪些？PhD position in Department of Information Technology项目是不是全奖？有没有奖学金？下面我们一起看一下根特大学申请Phd直招需要具备哪些条件和要求，以及托福、雅思语言成绩要到多少才能申请。

申请要求

WHAT WE ARE LOOKING FOR

You hold a master’s degree in engineering sciences or informatics (biomedical engineering, computer science, information technology, electrical engineering, acoustics). 

You are an expert in digital signal processing (audio, biomedical) and have experience with machine-learning techniques for time-series and frequency-domain processing. 

You have strong programming skills in signal processing (Python, MATLAB) and experience with machine learning (Keras, PyTorch). Knowledge of firmware programming languages (C/HDL) is a plus. 

Prior experience with personalized audio signal processing is a plus. 

You can work independently in problem solving, searching for the relevant background literature and in leveraging relevant existing techniques to reach your end goal. 

You can communicate your research results to different audiences (team members, technical reports, research conferences) and work well in a team. 

Good written and spoken English skills are required, as demonstrated by previously written technical reports and oral presentations.

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