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Full Stack Software Engineer

Software Engineer Wanted! Join Our Brain Imaging Startup!

Full Stack Software Engineer

optohive
Zürich
Full time
01.12.2024

Are you ready to shape the future of brain imaging technology and advance medical applications? We are seeking a Full-Stack Software Engineer to join optohive, a future ETH Zurich spinoff hosted by the Rehabilitation Engineering Lab (RELab) at the Department of Health Sciences and Technology (D-HEST). Optohive is developing a groundbreaking brain imaging system based on functional near-infrared spectroscopy (fNIRS) technology to enable fast, wearable brain recordings. We aim to translate accessible and easy-to-use brain imaging into widespread applications and accelerate the development of clinically viable biomarkers. We are seeking a Full-Stack Software Engineer to advance our standalone software, making it robust, intuitive, and efficient for both research and medical applications. You will play a key role in designing end-to-end solutions for streaming data from the optohive hardware, performing real-time processing, and visualizing brain activity. The collected data will be further processed through an AI-powered cloud solution. Working closely with an interdisciplinary team, customers, and external developers, you will contribute to a product that bridges cutting-edge neuroscience, AI, and medical applications. This project offers an exciting and dynamic work environment with long-term involvement opportunities. We are looking for a candidate that can start as soon as possible with a workload of 100%. We look forward to receiving your online application with the following documents: Cover letter outlining your motivation and experience in the field. Mention your earliest possible starting date CV including degree certificates Transcript of records Apply here: https://jobs.ethz.ch/job/view/JOPG_ethz_mH20XiX4JZKhxD5HZu

Python
Database
Cloud Development
Graphical User Interface (GUI)
Frontend-Webentwicklung
Backend-Webentwicklung
Artificial Intelligence
Functional Neuroimaging
Big Data
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