PhD in ML for Sustainable Welding Materials

Karlstad University; Göteborgs kommun; On-site; SEK 362,808 - 434,573; Full time

Benefits offered by this job

Employee benefits

Dynamic working environment

Support for relocation

Job summary

Chalmers University of Technology is looking for a dedicated Ph.D. student in machine-learning focused on sustainable welding materials in Gothenburg. This position involves groundbreaking research in collaboration with industry partners and experts, utilizing machine learning methodologies.

The candidate must hold a Master's degree in relevant fields and have strong communication skills. The role includes developing innovative algorithms for welding materials and requires active participation in interdisciplinary work.

Qualifications

• Master's degree of 120 credits or equivalent.
• Strong English communication skills.
• Social competence for interdisciplinary collaboration.

Responsibilities

• Conduct research using machine learning for welding materials.
• Collaborate with Chalmers and industry partners.
• Develop algorithms for prediction of welding materials.

Skills

Machine learning

Data science

Communication skills

Interdisciplinary collaboration

Education

Master's degree in physics, chemistry, or related field

Tools

First-principle methods

Density functional theory

Molecular dynamics

Job description

Chalmers University of Technology is looking for a dedicated Ph.D. student in machine-learning focused on sustainable welding materials in Gothenburg. This position involves groundbreaking research in collaboration with industry partners and experts, utilizing machine learning methodologies.

The candidate must hold a Master's degree in relevant fields and have strong communication skills. The role includes developing innovative algorithms for welding materials and requires active participation in interdisciplinary work.