FPGA Machine Learning Developer EP-CMG-OSGRAE
FPGA Machine Learning Developer EP-CMG-OSGRAE
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1 Vacancy
Job Description
Your responsibilities
We are seeking a FPGA & Machine Learning Developer to join the Edge SpAIce project an EUfunded initiative leveraging CERN technology for onboard image processing with Machine Learning (ML) on FPGAs. The project aims to monitor plastic pollution in the ocean using Earth Observation (EO) satellites equipped with hyperspectral cameras. By performing realtime image segmentation onboard the system will identify marine debris and send rapid alerts reducing the need for extensive data transmission.
CERNs hls4ml tool originally developed for ultralow latency Neural Network (NN) inference in LHC experiments will be a key part of the project. The successful candidate will develop and optimize NN inference for NanoXPlore FPGAs which are wellsuited for lowpower highthroughput embedded processing.
Key Responsibilities:
- Develop and optimize Neural Network (NN) inference implementations for NanoXPlore FPGAs.
- Implement image segmentation NNs for realtime onboard identification of marine debris.
- Benchmark and evaluate FPGA demonstrator systems measuring latency power efficiency and accuracy.
- Collaborate with international partners specializing in satellite technology EO applications and NN deployment on space hardware.
- Present research findings at CERN and international conferences/workshops.
Read more about the Edge SpAIce project:
useddetectmarineplastic
More information here: actors/
Your profile
Skills
- Experience with FPGA development including HighLevel Synthesis (HLS) Hardware Description Languages (HDLs) such as Verilog or VHDL and C.
- Familiarity with hls4ml NanoXPlore FPGAs and Quantization Aware Training is a plus.
- Understanding of Neural Networks for image processing particularly image segmentation.
- Knowledge of Earth Observation applications and hyperspectral imaging.
- Strong teamwork and communication skills with the ability to present and document technical work effectively.
Eligibility criteria:
- You are a national of a CERN Member or Associate Member State.
- By the application deadline you have a maximum of two years of professional experience since graduation in EE / CS (or a related field) and your highest educational qualification is either a Bachelors or Masters degree.
- You have never had a CERN fellow or graduate contract before.
- Applicants without University degree are not eligible.
- Applicants with a PhD are not eligible.
Additional Information :
Job closing date: 19.03.2025 at 23:59 hrs CET.
Contract duration: 18 months with a possible extension up to 36 months maximum.
Working hours: 40 hours per week
Target start date: 01April2025
Job reference: EPCMGOS202521GRAE
Field of work: Electrical or Electronics Engineering
What we offer
- A monthly stipend ranging between 5196 and 5716 Swiss Francs (net of tax).
- Coverage by CERNs comprehensive health scheme (for yourself your spouse and children) and membership of the CERN Pension Fund.
- Depending on your individual circumstances: installation grant; family child and infant allowances; payment of travel expenses at the beginning and end of contract.
- 30 days of paid leave per year.
- Onthejob and formal training at CERN as well as inhouse language courses for English and/or French.
About us
At CERN the European Organization for Nuclear Research physicists and engineers are probing the fundamental structure of the universe. Using the worlds largest and most complex scientific instruments they study the basic constituents of matter fundamental particles that are made to collide together at close to the speed of light. The process gives physicists clues about how particles interact and provides insights into the fundamental laws of nature. Find out more on
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
