AI-Driven Materials Research Scientist

ESAB AB; Göteborgs kommun; On-site; SEK 500,000 - 700,000; Full time

Benefits offered by this job

Professional development opportunities

Dynamic research environment

International collaboration opportunities

Job summary

ESAB AB in Gothenburg is looking for a Research Data Scientist focused on materials and AI to join their R&D Filler Metals team. The role includes developing data architecture, implementing advanced data management tools, and performing machine learning and statistical modeling to enhance product innovation.

Ideal candidates will have a postgraduate degree in Data Science or a similar field, experience in AI, and expertise in Python and SQL. They should be passionate about driving research advancements in welding technology.

Qualifications

• Master's or PhD required in related fields.
• Experience in machine learning and statistical modeling.
• Proficiency in Python and SQL.

Responsibilities

• Develop and manage data architecture for R&D.
• Implement data management tools for quality and accessibility.
• Conduct machine learning for material development and optimization.

Skills

Machine learning

Statistical modeling

Python (pandas, NumPy, scikit-learn)

Data visualization (Matplotlib, Plotly)

Data engineering

Computer vision

Education

M.Sc. or PhD in Data Science, Computer Science, Statistics or related field

Tools

SQL

PyTorch

TensorFlow

Job description

ESAB AB in Gothenburg is looking for a Research Data Scientist focused on materials and AI to join their R&D Filler Metals team. The role includes developing data architecture, implementing advanced data management tools, and performing machine learning and statistical modeling to enhance product innovation.

Ideal candidates will have a postgraduate degree in Data Science or a similar field, experience in AI, and expertise in Python and SQL. They should be passionate about driving research advancements in welding technology.