If you are passionate about Neuroscience and you want to be part of the fUS revolution, we are looking forward to your application!
M2 research Internship – Signal processing in functional ultrasound imaging
ICONEUS is a Paris-based start-up. A growing team (currently 29 people) is dedicated to developing and commercializing a new ultrasound-based brain imaging modality (functional ultrasound imaging or fUS). This revolutionary method allows the visualization of brain activity with unprecedented spatio-temporal resolution and high sensitivity. Founded in 2016, ICONEUS aims to become a world leader in neuro-functional imaging.
ICONEUS offers a complete turnkey imaging system for preclinical research allowing the measurement of neuronal activation and connectivity. While maintaining its preclinical activities, ICONEUS also has ambitions to develop products dedicated to clinical research.
The ICONEUS solution relies on an ambitious device developed and integrated by the ICONEUS team.
In order to complete its team, ICONEUS is hiring a computer engineer to help with software quality assurance (QA) and automation. The candidate must be a student in a Master degree program, preferably last year (M2).
By Joining Iconeus you can help us bring academic knowledge to the commercial world.
Once you’re here you’ll help us assure the quality of our software. You will be at the interface between the developers and the application specialists and your action will consist in implementing automatic tests suites, improving and executing the existing software testing, and be responsible for approving the releases of the software on the dev side.
Essential duties and responsibilities:
Many sources of fluctuation contribute to the fUS signal, complicating attempts to infer those changes that are truly related to brain activation. Unlike methods of analysis of fUS data that test the time course of each voxel against a hypothesized waveform, data-driven methods, such as independent component analysis (ICA) and clustering, attempt to find common features within the data. This exploratory approach can be revealing when the brain activation is difficult to predict beforehand, such as with complex stimuli and internal shifts of activation that are not time-locked to an easily specified sensory or motor event.
The main aim of the internship is to develop ICA methods for fUS, and test them on real data.
Essential responsibilities:
- State of the art in ICA methods, in particular what it has been done in fMRI
- Development in Python or Matlab
- Optionally: validate software releases by executing testing
- collaborate with the team to ensure proper transmission and recording of progress
Team Support:
- Integrate the current development flow
- Participate in debug and paired debugging/development sessions
- Use your technical knowledge to support all members of staff facing software issues
Must have:
- Good knowledge in software programming and scripting (Python and/or Matlab and/or R)
- Theoretical knowledge in signal and image processing
- Good analytical and logical thinking skills
- Technical English
- Autonomous, rigorous, being proactive, desire to learn
- Interested in innovation
Nice to have:
- An interest in Physics and Neurobiology, Neuroscience
- Taste for small teams and start-up working environment
- Attractiveness for technologies, innovation
Intern conditions :
- End-of-study or gap year internship (4 to 6 months)
- When: From January 2024
- Offices in the start-up incubator Paris Santé Innovation
- A young, dynamic and qualified team (average age 28 years – 60% PhD, 25% engineers)
- A multidisciplinary and multicultural team (19 nationalities for 30 people) (computer engineers, physicists, neurobiologists, pharmacists, industrial designers, acousticians, project managers, QRAM, electrical engineers)
Who you’ll work with
- Luc – Signal Processing Engineer
Luc joined Iconeus in 2021 after graduating with a PhD in medical imaging, then multiple experiences in companies and other start-up in signal processing, algorithms and coding.
We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, ethnicity, religion, gender, gender expression, social background, sexual orientation, and age or disability status. All are welcome.
