Postdoc in Neuromorphic Computing and acoustic sensing - DTU Electro
Kgs. Lyngby, Denmark
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DTU - Technical University of Denmark
DTU er et teknisk eliteuniversitet med international rækkevidde og standard. Vores mission er at udvikle og nyttiggøre naturvidenskab og teknisk videnskab til gavn for samfundet.Are you a machine leaning researcher who would like to develop applications of neuromorphic computing? If so, we invite you to apply for this exciting Postdoctoral position.
We are seeking a highly motivated postdoctoral researcher to join our team working at the frontier of neuromorphic engineering. The postdoc will lead efforts to apply neuromorphic computing to extracting physical information from acoustic and electromagnetic signals using machine leaning and signal processing. This position offers an opportunity to collaborate closely with experimental scientists – using neuromorphic models with experimental feedback. We seek a post graduate researcher with strong neuromorphic processing for acoustic and electromagnetic signals. Theoretically we will explore expressivity of spiking neural networks, which classes received signal that can be used with neuromorphic hardware. In implementation we might explore neuromorphic intermediate representation, to perform processing directly hardware.
Responsibilities and qualifications
- Publish high-quality research articles. Present findings at international conferences, and actively participate in knowledge exchange in machine leaning and signal processing.
- Develop, implement, and validate machine learning models to predict and optimize materials performance under various environmental conditions.
- Collaborate closely with experimental researchers to integrate computational findings with network sensing of acoustic and electromagnetic signals
As a formal qualification, you must hold a PhD in Computer Science.
Besides, the candidate should have:
- Strong track record of publications in peer-reviewed journals, showcasing the ability to carry out high-quality, independent research.
- Fluency in Python, including experience writing data analysis scripts and model training code. Experience with scientific computing and data libraries (NumPy, pandas, scikit-learn, etc.). Hands-on knowledge of deep learning libraries (PyTorch, TensorFlow). An extensive list of contribution to the community on, e.g., Github.
We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.
Salary and terms of employment
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union.
The period of employment is 2 years.
You can read more about career paths at DTU here.
Further information might be obtained at the Department of Electrical Engineering, https://electro.dtu.dk/
The Acoustic Technology Group https://electro.dtu.dk/research/research-areas/electro-technology/acoustic-technology
And NoiseLab https://noiselab.ucsd.edu/
If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark.
Application procedure
Your complete online application must be submitted no later than 7 August 2025 (23:59 Danish time).
Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:
- Application (cover letter)
- CV
- Academic Diplomas (MSc/PhD – in English)
- List of publications
Applications received after the deadline will not be considered.
All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position.
Technology for people
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data analysis Deep Learning Engineering GitHub Machine Learning ML models Model training NumPy Open Source Pandas PhD Postdoc Python PyTorch Research Scikit-learn Security TensorFlow
Perks/benefits: Career development Conferences
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