Scientific Software Developer – Phase Field Model
Offerto da:
Disponibile per l’evento:
Luogo di svolgimento del lavoro:
Denmark, Søborg
Livello di istruzione scolastica:
Tipo di posizione:
Full-time
Numero di posti di lavoro:
1
Descrizione dell’offerta di lavoro
Role Overview
We’re looking for a Scientific Software Developer with a strong background in phase-field modeling to lead the development and application of advanced phase-field simulations for industrial applications. This is an exciting opportunity for someone who enjoys combining technical expertise, innovation, and teamwork to solve complex problems in materials design, such as grain boundary formation and microstructural evolution, and how they affect materials properties. An ideal candidate will also act as a materials scientist and use the developed software to tackle real-world problems.
Key Responsibilities
- Design and develop scalable, reliable, and accurate phase-field modeling frameworks for materials science applications.
- Write, debug, and optimize simulation code using Python, C, C++, or Fortran.
- Develop and implement advanced numerical techniques for microstructure evolution simulations, such as solidification, grain growth, and phase transformations.
- Develop and expand phase-field software to integrate seamlessly with complementary tools (e.g., DFT, MD, CALPHAD) for the multiscale modeling framework
- Contribute to technical decisions on tools, algorithms, and modeling strategies to enhance efficiency and accuracy.
- Foster collaboration between the development and scientific teams.
- Collaborate with experimental and theoretical teams to validate models and integrate insights.
Requisiti professionali
Required Skills:
- Strong programming skills in Python, C, C++, or Fortran, with experience in computational modeling.
- Experience with phase-field modeling frameworks (e.g., MOOSE, DAMASK, COMSOL, or custom-built tools).
- Strong background in numerical methods (e.g., finite difference, finite element, spectral methods).
- Experience with PETSc and developing custom phase-field models from scratch.
- Familiarity with high-performance computing (HPC), parallelization, and cloud environments.
- Deep understanding of materials science principles, including thermodynamics, kinetics, grain boundary dynamics, and microstructure evolution.
- Strong problem-solving skills, attention to detail, and ability to work independently.
Requisiti preferenziali
Preferred Skills:
- Experience with machine learning techniques and their integration into computational models.
- Knowledge of CALPHAD, molecular dynamics, or density functional theory (DFT) for linking multiscale simulations.
- Background in developing user interfaces for scientific software tools (e.g., using React or similar frameworks).
- Familiarity with experimental techniques for model validation (e.g., microscopy, spectroscopy, diffraction).
- Prior experience working in fields of materials design, such as metal alloys, catalysts, energy materials, or semiconductor.
Vantaggi
What We Offer
- A unique opportunity to be part of one of the most promising start-ups within materials discovery on an ambitious path to achieve unicorn status
- Involvement in solving some of the world’s most complex challenges supporting a greener future
- A welcoming, diverse, and entrepreneurial workplace located in Søborg, Denmark
- A vibrant atmosphere with a flat hierarchy, open collaboration and idea-sharing
- Possibility to enter our warrant program at an early stage
- Free coffee to fuel your creative energy! ;-)
