GN Group
Job title:
Industrial PhD, AI-Guided Signal Processing
Company:
GN Group
Job description
Do you want to help create the future of communication, do research in a topic that impacts billions of people, and push the boundaries of how technology can support human communication?We are looking for a great candidate with enthusiasm for research, innovation, science, and math who wants to climb the academic ladder and do a PhD together with two outstanding organizations supported by the Innovation Fund Denmark.The goal of the PhD is to capture high-quality speech signals in noisy environments using multi-channel speech enhancement methods combining classical signal processing methods with state-of-the-art machine learning techniques.You will find yourself in the intersection between emerging research domains and innovations where real-life constraints such as complexity, cost, and speed apply.On this journey, you will have supervisors from both GN and Aalborg University and be able to leverage the expertise, platforms, and lab facilities from both organizations. A setup, providing solid academic and corporate foundation with freedom to explore.The primary location is GN with extended stays at Aalborg University where you will be enrolled. At GN you will be part of the research team – GN Advanced Science – a diverse, local, and global team with a variety of experts on topics related to signals, audio, and sound. We have an open, engaging, inclusive, hybrid way of working and a flexible workday.What your colleagues say about working at GN:“Over my years of working in academia and industry both, what I enjoy the most about working at GN Advanced Science, is the unique opportunity to explore the field and research as a scientist but also develop and implement the ideas into the final products being used by millions of users in their daily speech communication experience.”, Lead Research Scientist, Pejman Mowlaee“One of the things I like about working in GN Advanced Science is the opportunity to explore new ideas from academia and apply them to relevant technology development. And ultimately see these new technologies bring improvements to our customers.”, Principal Research Scientist Rasmus K. OlssonWe imagine that you:
- Have a significant background in digital signal processing and machine learning.
- Have substantial experience with Python and understand scientific computing.
- Have knowledge of recent CNNs, MLPs, RNNs, GANs and transformers.
- have considerable experience with a deep learning framework like TensorFlow or PyTorch.
- Have a relevant master’s degree and a genuine desire to earn a PhD
- Are curious about the cross-field between classic signal processing and new ML methods.
- Have a proficiency for self-guided tasks.
- Able to communicate in English and collaborate across
We encourage you to applyEven if you don’t match all the above-mentioned skills, we will gladly receive your application if you think you have transferrable skills.We are committed to an inclusive recruitment processAll applicants will receive equal consideration for employment. Should you have any special requirements for the Interview please let us know upon accepting an invitation to interview.How to apply?Use the ‘APPLY’ link no later than September 1st, 2024. Applications are assessed on a continuous basis, so don’t wait to send yours.The application must contain a cover letter, CV, and relevant diplomas.On a time crunch?Feel free to submit only your up-to-date CV including a few sentences outlining your motivation for applying – quick and easy.If you would like to know more about the position, please contact Lead Research Scientist, Pejman Mowlaee (+45 5336 4372, [email protected]) or Associate Professor, Jesper Rindom Jensen (+45 9940 7450, [email protected]).Join us in bringing people closerGN brings people closer through our leading intelligent hearing, audio, video, and gaming solutions. Inspired by people and motivated by innovation, we deliver technology that enhances the senses of hearing and sight. We enable people with hearing loss overcome real-life challenges, improve communication and collaboration for businesses and provide great experiences for audio and gaming enthusiasts.We hope you will join us on this journey and look forward to receiving your application.#LI-Jabra
Expected salary
Location
Ballerup, Hovedstaden
Job date
Sun, 07 Jul 2024 01:48:33 GMT
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