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Open nowPosted 3 hours agoWe saw it 49 min after it went up

Internship: On-board AI for Autonomous Spacecraft

Solenix7 open roles

Where
Switzerland
Work mode
Hybrid
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Your applicationOpen nowInternship: On-board AI for Autonomous SpacecraftSolenix · Switzerland

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The clock on this job

Early applications get read.

12.4% of postings close within 7 days. Measured by our own scanner across the market. Solenix postings stay open a median of 6 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.4%7 days
  4. 20.0%14 days
  5. 35.5%30 days
  6. 58.6%60 days
This job: posted 3 hours ago

Solenix median: 6 days open

The posting

Job description

About Solenix and our qualities Solenix is a privately owned and international company providing engineering and consulting services in the space market, with branches in Germany, Switzerland, Portugal and Italy. We deliver reliable software, AI and data-intensive applications for the space industry. Our tools and our people support daily mission operations and engineers at ESA, EUMETSAT and companies across Europe. We are known for high-quality services, user-oriented solutions, long-term partnerships and constructive collaboration.

Context As the number of satellite constellations grows, flight control teams who need to monitor, command, and control fleets are under increasing pressure. More on-board autonomy is needed, which means deploying intelligent algorithms safely under the harsh constraints of the space environment: limited resources and exposure to radiation.

Role: We are looking for a master-level intern for 6 and up to 12 months who wants to carry out an end-of-studies project (e.g. master's thesis or gap year) at the intersection of AI/ML, embedded/flight software and spacecraft operations.

The successful candidate will work with and learn from experts in AI/ML applied to space engineering, with real impact on the company's ongoing research and projects.

Expected activities:

  • Get familiar with space operations, satellite engineering, subsystems and the effects of the space environment on spacecraft.
  • Identify flight software design constraints related to space-representative compute (e.g. power, memory).
  • Design, implement and evaluate AI/ML models (e.g. classic ML or lightweight neural networks for anomaly detection; not generative AI).
  • Contribute to space mission definition, subsystem scope and fault scenarios for testing.
  • Package code and deploy models on an space-representative compute hardware.
  • Benchmark performance (e.g latency, stability and robustness).
  • Select and implement FDIR and/or optimisation algorithms suitable for increasing spacecraft autonomy.
  • Organise your own work and schedule to meet the defined objectives.
  • Write clear documentation and justify design decisions.

Requirements:

  • You are enrolled in a Master's degree or equivalent in one of these fields (or similar): Artificial Intelligence and Machine Learning, Embedded Systems, Space Systems Engineering, Electrical Engineering, Computer Science and Software Engineering.
  • Knowledge of, or a strong desire to learn about, AI and machine learning, specifically on-board AI and constraints as part of flight software.
  • Knowledge of, or a strong desire to learn about, space engineering and operations.
  • Demonstrated analytical skills.
  • You follow through on your commitments.
  • You are not afraid of uncertainty, and you ask questions along the way.
  • Able to organise your own work and schedule to meet defined objectives.
  • Fluent in English.

Work Location

  • This is a hybrid role based in Basel, Switzerland, combining regular on-site collaboration with the flexibility to work from home part of the week.
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