- Notera att ansökningsdagen för den här annonsen kan ha passerat. Läs annonsen noggrant innan du går vidare med din ansökan.
Develop signal processing algorithms for Acconeer radar system to
- improve our system performance on existing use cases
- work together with customers to develop a solution to their specific sensing needs based
on our radar technology
- explore new areas for our sensor and develop proof-of-concepts for new use cases
Support the software and hardware teams during algorithm implementation.
Support the development of next generation radar sensor chip.
Support product management in strategy decisions regarding Acconeer offerings.
File patent applications across the wide range of different applications.
Desired skills and expertise:
- Experience working with advanced signal processing, preferably in radar and/or radio systems,
where experience in machine learning is a plus
- Experience in writing patent ideas or working with patent engineers
- Skilled in signal processing simulation tools such as: Matlab or Python but also in embedded
software design to be able to tightly collaborate with our SW team
- A science/engineering PhD or Master’s degree
- English language skills
? - Ability to prioritise tasks effectively and focus
? - Possess the drive to succeed combined with a ‘make it happen’ attitude
? - Comfortable working in a fast moving and dynamic start-up environment
Acconeer is a young start-up company recently listed on Nasdaq First North developing a low power
60 GHz/mmWave radar sensor – a pulsed coherent radar based on research from Lund University. It
combines extremely low power consumption and sub-mm distance detection accuracy. Further, the
radar sensor opens for detection of micro-motion, objects direction estimation, material classification,
human breathing measurement and much more, all within a sensor sized 5x5 mm including antennas.
Acconeer is located in Lund at Ideon Gateway and we are currently a group of around 30 people with
high R&D focus, working closely together over the R&D disciplines - hardware, software and algorithm