PhD in Data-Driven Product Realization

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

Job summary

Chalmers University of Technology in Gothenburg invites applications for Doctoral student positions in Data-Driven Product Realization. You will work on research transforming industrial product realization through data-driven methods, collaborating with leading Swedish industry partners and education environments.

The role includes developing methods, publishing results, and engaging with workshops, with potential teaching duties up to 20% of working hours.

Qualifications

• Master’s degree (masterexamen 120 credits) in mechanical engineering, production engineering, automation, systems engineering, computer science, applied AI, data science, or related field.
• Strong written and verbal communication skills in English.
• Strong interest in scientific research and industrial application.
• Ability to collaborate across disciplines with industrial partners.

Responsibilities

• Conduct research within one DRIVE PR track, collaborating with industrial partners.
• Develop methods and models using industrial data and demonstrators.
• Publish scientific results and contribute to project workshops and learning activities.
• Collaborate with industrial partners and disseminate research outcomes.
• Possibly teach at undergraduate level up to 20% of time.
• Join interdisciplinary teams across Geometry Assurance, Systems Engineering, or Automation.

Skills

English communication

Interdisciplinary collaboration

Analytical thinking

Independent researcher

Education

Master’s degree in mechanical engineering or related field

Job description

Chalmers University of Technology in Gothenburg invites applications for Doctoral student positions in Data-Driven Product Realization. You will work on research transforming industrial product realization through data-driven methods, collaborating with leading Swedish industry partners and education environments.

The role includes developing methods, publishing results, and engaging with workshops, with potential teaching duties up to 20% of working hours.