Data Physicist
Who we are
Why Marvel Fusion
By joining us, you will be:
- Solving one of the most complex technological challenges known to humanity, harnessing Fusion on Earth
- Part of a highly purpose-driven team working on providing the world with clean, safe and abundant energy
- Working alongside world-leading scientists and entrepreneurs in the field of Fusion
- Part of a start-up where growth on a company and individual level is the default
The impact you will make
Our mission is to unlock the potential of fusion power generation: abundant, clean, economic and safe energy. On the critical path is the demonstration of the key features of Marvel Fusion’s unique fusion approach leveraging ultra-high intensity, short-pulse lasers and nanostructured targets. In recent years, the Experimental Physics Group at Marvel Fusion has implemented a new research laboratory at a world-class, ultra-high-intensity, short-pulse laser facility in the Greater Munich area. Moreover, we have partnered with international laser facilities, including the world’s most powerful laser facility ELI-NP in Măgurele (RO) and will soon break ground to build a revolutionary high-power laser facility in Colorado (US). Together, these facilities provide an excellent research platform to conduct groundbreaking laser-fusion research.
Your responsibilities
- You will plan, develop and deploy data organization, storage and processing systems for experimental campaigns in the field of nuclear fusion driven by ultra-short, high-intensity laser pulses interacting with advanced targets at facilities worldwide, which will include:
- Optimize and enhance Marvel Fusion’s data analysis software stack.
- Set up improved data infrastructure, storage, and data reduction standards ranging from human-readable to proprietary binary data.
- Implement software and hardware solutions to organize and process raw data to derive the basic physical quantities of interest.
- Support the implementation of data acquisition systems (DAQs) for real-time or batch processing of experimental data.
- You work closely with the diagnostics, control and IT infrastructure engineers to streamline the end-to-end process.
- Along with the rest of the experimental team, you will participate in experiments to gain valuable insights, continuously driving improvements in data acquisition, diagnostics, and experimental setups.
- You are a key element of defining and pursuing the company's forefront scientific mission, following a strict code of ethics, and protecting confidential information.
Activities will initially be performed in the Greater Munich (DE) area, with occasional travel to research facilities worldwide.
What you bring
- Completed a minimum MSc in Physics, Mathematics, or a related field, or equivalent breadth and depth of experience
- Demonstrated hands-on experience and expertise in scientific computing and processing of large datasets (over 100 GB)
- Strong proficiency in Python with additional experience in C/C++, CUDA, OpenCL, Mathematica, Fortran, or Matlab considered an advantage
- You have excellent written and oral communication skills in English
- Willingness to reside in the greater Munich area.
What sets you apart
- Experience in GPU-accelerated data processing and image pattern recognition
- Experience with laser-plasma experiments
- Flexible and creative in pursuing new topics to push forward pioneering research
- Willingness to travel multiple times per year to research facilities in Europe and the U.S
- You love digging into and solving complex problems that require attention to detail and are a critical thinker
What we offer
- An opportunity to make a huge impact on the future of our planet by making clean, safe and abundant energy possible
- Flexible working, location- and hours-wise
- A human-centered company culture with super nice and supportive colleagues
- A great sense of community through team events and fun in and outside the office
- A modern office with a lot of collaborative space close to Theresienwiese in Munich
- Highly competitive compensation and benefits package
For more information on how we process your application data, please review our privacy notice.
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