Materials Informatics Engineer

Who we are
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We are ferritico, a Swedish software company disrupting the global steel industry. Based on more than 10 years of leading KTH research we are developing a machine learning tool provided to our customers as a SaaS. The ferritico service digitalizes the processes of developing, manufacturing and implementing steel, helping our customers to significantly cut time and costs.
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We aggregate large sets of steel properties and process data and apply physical-based and machine learning models enabling our customers to predict and view correlations in data when optimizing materials, products and processes. Ferritico is well funded through support from i.a. EIT and Vinnova although already generating revenues. Ferritico is used in production by one global steel company and is currently strengthening the team with a Materials Informatics Engineer as a consequence of increased development and service demand.
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The Opportunity
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This employment constitutes a unique opportunity to join the ferritico team in central Stockholm and to step up your game as an engineer within materials science where informatics, i.e. data and computational modelling is key. As a Materials Informatics Engineer you will be outlining our customer’s steel processes and identifying materials data correlations enabling process and product optimization. You will document and work creatively to develop data requirements and strategies which will be implemented by our database developers and leveraged by our machine learning software. Your work will foster the highly profitable shift towards data-driven work patterns within steel development and manufacturing and include:
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Conducting strategic pre-studies where customer processes are explored focusing on materials data correlations and optimization possibilities
Create strategies and support database developers in the materials data collection process and implement quality assurance metrics
Test machine learning software prediction output and benchmark results against other simulation tools
Support Data Scientists in prediction model optimization and prediction error tracking
Attend sales meetings, identify new customer opportunities and deliver business development for our steel industry customers on a consultant basis

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You are passionate
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about developing state-of-the-art steel alloys and digital products using the latest technology. You embrace business development and customer relationships and the opportunity to contributeto and learn from related competence fields.
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Requirements:
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Masters, PhD, or equivalent experience in material science or similar
Exceptional communication skills. Fluent in written and spoken English
Professional experience from materials engineering, preferably from the steel industry
Happy to communicate and establish relationships with customers, outline their processes and propose machine learning solutions
Rigorous attention to detail and focus on timely high-quality deliverables

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Meriting skills:
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Interest in or experience from statistical modeling and machine learning
Consultancy background
Experience from materials modeling, e.g. FEM or thermodynamics-based modeling.
Experience with at least one programming language, preferably Python, and SQL databases.