Senior audio signal processing and machine learning engineer
Denne stilling er desværre ikke længere ledig.
Se alle ledige stillinger
Snekkersten
We are seeking creative, innovative and self-driven audio signal processing and machine learning engineers with a proven track-record in developing and maturing research ideas into tangible audio concepts.
About the position
Eriksholm is currently expanding its activities in Artificial Intelligence for audio, by increasing our team's capability to mature research ideas into tangible concepts. In this position, you will be working in a highly skilled engineering team alongside both scientists and engineers, directly supervised by experienced and engaged domain experts. You will be part of a team consisting of 10+ colleagues.
In your new role, you will have responsibilities that include:
The ideal candidate
You have a degree in Engineering, a background in audio signal processing and machine learning, and knowledge of auditory perception.
You are a team player who thrives working in close collaboration with your peers and who values trust and openness. You put in extra effort to ensure high quality of your own and your team’s deliveries.
You have experience and knowledge in the following areas:
Further, knowledge or experience with the following is considered positive
Do you want to join the Eriksholm Research Centre?
If this opportunity appeals to you, then please submit your application as soon as possible but no later than April 20, 2025. We only accept applications via our online recruitment system. Please include the following documents: Letter of motivation, CV, and the names of 2-3 references.
If you would like to know more about this permanent position, you are welcome to contact Jesper Jensen, Fellow of , Eriksholm Research Centre, by e-mail: or Hamish Innes-Brown, Senior Research Manager:
About Eriksholm
Eriksholm pursues audiological discoveries with the potential to significantly enhance customer and end-user benefits in future hearing care. We work in close collaboration with academic research institutions, clinicians and end-users, and being part of Oticon ensures that our scientific insights are applied in solutions that empower people with hearing loss.
We are a multi-cultural and multi-disciplinary team of scientists that respect and care about each other and we work in a very informal environment. We are all dedicated to exploring the unknown and striving for excellence, and we have scientific integrity and room for taking chances.
#LI-CM2 #LI-HYBRID
At we value diversity, equity and inclusion (DE&I) and we are committed to creating an inclusive working environment. We welcome applications from all qualified candidates regardless of ethnic background, personality, age, gender, and education. Diversity is part of our cultural DNA. Women in STEM areas are particularly encouraged to apply, as supports United Nations Sustainable Development Goal 5 on gender equality.
About the position
Eriksholm is currently expanding its activities in Artificial Intelligence for audio, by increasing our team's capability to mature research ideas into tangible concepts. In this position, you will be working in a highly skilled engineering team alongside both scientists and engineers, directly supervised by experienced and engaged domain experts. You will be part of a team consisting of 10+ colleagues.
In your new role, you will have responsibilities that include:
- Innovating and developing state-of-the-art audiological algorithms with a focus on improving speech intelligibility and quality.
- Training, inspecting, and improving signal processing concepts and ML/AI models using state-of-the art Python frameworks.
- Applying an analytical mindset to break down complex problems and navigate potential solution opportunities.
The ideal candidate
You have a degree in Engineering, a background in audio signal processing and machine learning, and knowledge of auditory perception.
You are a team player who thrives working in close collaboration with your peers and who values trust and openness. You put in extra effort to ensure high quality of your own and your team’s deliveries.
You have experience and knowledge in the following areas:
- Signal processing (e.g. noise reduction, beamforming, etc.).
- Machine learning theory and practice.
- Navigating and working with high-risk concepts.
- Communicating complex content in a clear and concise manner.
Further, knowledge or experience with the following is considered positive
- Low power processing
- Acoustics, psychoacoustics, or auditory perception.
Do you want to join the Eriksholm Research Centre?
If this opportunity appeals to you, then please submit your application as soon as possible but no later than April 20, 2025. We only accept applications via our online recruitment system. Please include the following documents: Letter of motivation, CV, and the names of 2-3 references.
If you would like to know more about this permanent position, you are welcome to contact Jesper Jensen, Fellow of , Eriksholm Research Centre, by e-mail: or Hamish Innes-Brown, Senior Research Manager:
About Eriksholm
Eriksholm pursues audiological discoveries with the potential to significantly enhance customer and end-user benefits in future hearing care. We work in close collaboration with academic research institutions, clinicians and end-users, and being part of Oticon ensures that our scientific insights are applied in solutions that empower people with hearing loss.
We are a multi-cultural and multi-disciplinary team of scientists that respect and care about each other and we work in a very informal environment. We are all dedicated to exploring the unknown and striving for excellence, and we have scientific integrity and room for taking chances.
#LI-CM2 #LI-HYBRID
At we value diversity, equity and inclusion (DE&I) and we are committed to creating an inclusive working environment. We welcome applications from all qualified candidates regardless of ethnic background, personality, age, gender, and education. Diversity is part of our cultural DNA. Women in STEM areas are particularly encouraged to apply, as supports United Nations Sustainable Development Goal 5 on gender equality.
Information og data
Denne ledige stilling har jobtypen "Data Manager", og befinder sig i kategorien "Informationsteknologi".
Arbejdsstedet er beliggende i Snekkersten.
Jobbet er oprettet på vores service den 25.3.2025, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
- Data Manager
- Snekkersten
Lignende jobs
-
Data Engineer (Project Manager)
Brüel & Kjær Vibro (B&K Vibro) is one of the world’s largest independent suppliers of machinery protection and condition monitoring systems. The systems are installed on rotating and reciprocating .Få mere info- Data Manager
- Hele Danmark
-
(Senior) Data Scientist
Brüel & Kjær Vibro (B&K Vibro) is one of the world’s largest independent suppliers of machinery protection and condition monitoring systems. The systems are installed on rotating and reciprocating .Få mere info- Data Manager
- Hele Danmark
-
Data Engineer SAP BI
Join [xxxxx] as a Data Engineer SAP BI We’re looking for a skilled SAP BI Data Engineer to help develop and maintain our Data & Analytics platform, ensuring seamless data flows across our..Få mere info- Data Manager
- Hele Danmark
-
Data Engineer – Denmark
The life sciences industry plays a significant role in advancing healthcare and improving the quality of life – in many cases, saving millions of lives globally. At [xxxxx], this is the..Få mere info- Data Manager
- Nordsjælland
Statistik over udbudte jobs som data managere i Snekkersten
Herunder ser du udviklingen i udbudte data manager i Snekkersten over tid. Bemærk at jobs der ikke har en bestemt geografi ikke er medtaget i tabellen. I den første kolonne ser du datoen. I den næste kolonne ser du det samlede antal data managere.
Se flere statistikker her:
Statistik over udbudte jobs som data managere i Snekkersten over tid
| Dato | Alle jobs som data managere |
|---|---|
| 21. april 2025 | 2 |
| 20. april 2025 | 2 |
| 19. april 2025 | 2 |
| 18. april 2025 | 2 |
| 17. april 2025 | 2 |
| 16. april 2025 | 2 |
| 15. april 2025 | 2 |
| 14. april 2025 | 2 |
| 13. april 2025 | 2 |
| 12. april 2025 | 2 |
| 11. april 2025 | 2 |
| 10. april 2025 | 2 |
| 9. april 2025 | 2 |
| 8. april 2025 | 2 |
| 7. april 2025 | 2 |
| 6. april 2025 | 2 |
| 5. april 2025 | 2 |
| 4. april 2025 | 2 |
| 3. april 2025 | 2 |
| 2. april 2025 | 2 |
| 1. april 2025 | 2 |
| 31. marts 2025 | 2 |
| 30. marts 2025 | 2 |