Scientific Software Developer Sines

Scientific Software Developer
Sines
Sines, Setubal, Portugal

Scientific Software Developer

Hy
Lab's final goal is to create a worldwide reference Research, Development and Innovation (R&D+I) cluster with a strategic agenda focused on strengthening hydrogen competitiveness and creation of new products and services. Moreover, the Hy
Lab will foster innovation, addressing the relevant supply chain components to enable a
- driven economy and to promote skilled and
- added job creation.
It targets a gap between the academia and industrial ecosystems in the implementation of green hydrogen to boost the energy transition and to tackle the energy transition challenges, through the entire hydrogen value chain.
The Hy
Lab involves valuable national and international R&D institutes, academia, industry companies, small and
- sized enterprises (SMEs),
- ups, and
- related technology manufacturing industries.
We are looking for a Scientific Software Developer who will report to the Lead Researcher and will have the mission to Develop software applications and provide technical support across the Hydrogen areas.
You will be challenged with:

• Develop software applications for scientific research in the areas of hydrogen.
• Provide technical support to the different hydrogen R&D teams in developing computational code.
• Collaborate in R&D projects, namely in the Mobilizing Agendas of the Recovery and Resilience Plan.
• Cooperate with project partners to ensure delivery of technical work and preparation of related project reports.
• Participate in activities to disseminate the scientific knowledge produced (writing scientific articles, communications at conferences, presentations).

Who are we looking for:

• Degree and/or Master's Degree in Computer Engineering or similar.
• Experience in Scientific (and/or Commercial) Software Development, with different Operating System (OS), version control systems, Object-Oriented Programming (OOP) and High Performing Computer (HPC).
• Have a strong foundation in machine learning, data analysis, and numerical methods.
• Excellent communication skills (oral and written).
• Strong planning, organizational and rigorous skills.
• Proficiency level in English C1.

Why join us:

• You will be challenged with unusual problems and will have the opportunity to uncover solutions with a high environmental impact.
• You will be working in an innovation environment, together with some of the most knowledgeable researchers in Europe.