PhD in Machine Learning for Sustainable Welding Materials

Chalmers Tekniska Högskola Aktiebolag; Göteborgs kommun; On-site; SEK 362,808 - 434,573; Full time

Benefits offered by this job

Employee benefits

Dynamic working environment

Swedish language courses

Job summary

Chalmers Tekniska Högskola Aktiebolag in Gothenburg is seeking a Ph.D. student to engage in innovative research on welding materials using machine learning. This role includes collaboration with industry and academia to enhance welding technologies and is based in a dynamic working environment.

The position is fully funded for four years, with a starting salary of 35,725 SEK per month. Ideal candidates should have a Master's degree or related education and experience in relevant fields.

Qualifications

• Master's degree (120 credits) in physics, chemistry, or equivalent.
• Experience in machine learning or AI preferred.
• Strong communication skills in English.

Responsibilities

• Conduct research on welding materials using machine learning.
• Take advanced courses in energy and systems.
• Develop scientific concepts and communicate results.

Skills

Communication skills in English

Machine learning or AI algorithms

Material modelling methods

Research in thermodynamics or materials

Education

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

4-year Bachelor's degree accepted

Job description

Chalmers Tekniska Högskola Aktiebolag in Gothenburg is seeking a Ph.D. student to engage in innovative research on welding materials using machine learning. This role includes collaboration with industry and academia to enhance welding technologies and is based in a dynamic working environment.

The position is fully funded for four years, with a starting salary of 35,725 SEK per month. Ideal candidates should have a Master's degree or related education and experience in relevant fields.