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Job description
Thermo-Calc Software attracts the best and brightest minds from around the world to solve challenging problems related to computational materials engineering. At Thermo-Calc Software, we work as a team, so your talent will grow as you learn from and collaborate with other talented individuals.
One opening is immediately available within the Research and Innovation Department in Thermo-Calc Software AB, Stockholm, Sweden. We adhere to a remote-friendly mindset, meaning that the work location is flexible for the right candidate.
Thermo-Calc Software takes actions to be an attractive employer who offers competitive compensation and benefits, as well as a stimulating work environment with colleagues from all over the world. Our company values a spirit of teamwork and inclusiveness, where we all work together to create the best products and services for our users. Actual benefits vary by location, but we strive to offer all employees a comprehensive health and benefits package according to local standards.
Responsibilities
Responsibilities will include:
- Identifying and assessing opportunities to apply machine learning methods to improve and further extend the models and algorithms at the core of the company’s simulation software.
- Development of machine learning models working on the whole project lifecycle, from conceptualization to building and testing/refinement of software prototypes.
- Collaborating with our Software development team to drive the implementation and deployment of machine learning methods into the company’s software products.
Qualifications
- Degree (PhD or MS) in Computer Science, Statistics, or Mathematics with a focus on areas of Machine Learning, Artificial Intelligence, or Statistical Data Analysis.
- Enthusiasm for team work and demonstrated ability to work autonomously.
- Proven hands-on experience in at least several general-purpose machine learning and artificial intelligence techniques including deep learning, Bayesian analysis, Gaussian processes, Monte Carlo algorithms, kernel-based methods, and tree-based methods.
- Excellent programming experience in one or more of the following languages: Python, R, MATLAB, C/C++, Java, and FORTRAN.
- Strong communication skills.
- Proficiency in English, both written and spoken.
- Hands-on experience with the stack of Python libraries and tool for data modeling including numpy, scipy, pandas, matplotlib, bokeh, plotly, ipython/jupyter, etc.
- Knowledge of one or more of the mainstream machine learning software libraries such as scikit-learn, TensorFlow/Keras, PyTorch, etc.
- Familiarity with the best practices and tools of modern software development such as version control (using, e.g., git or SVN), unit testing, and continuous integration.
- Experience with cloud computing platforms.
Application
For more information about the position, please contact Åsa Vallin or Hannah Sandström, recruitment consultants at Randstad Engineering, [email protected] or [email protected].
About the company