Postdoc: AI-Driven Digital Twins for Smart Industry

Högskolan i Gävle; Gävle kommun; On-site; SEK 390,600 - 558,000; Full time

Benefits offered by this job

Beautiful working environment

Employment benefits

Active promotion of equal opportunities

Job summary

Högskolan i Gävle is seeking a Postdoc in Electrical Engineering focusing on AI & Digital Twins for Industry. The role includes conducting experiments and developing models to support industrial digitalisation. This position offers an opportunity to work on cutting-edge projects while collaborating closely with colleagues and students.

Applicants should hold a PhD in a related field and possess strong communication skills in both English and Swedish. The role is full-time for two years with a potential extension.

Qualifications

• PhD in electrical engineering, signal processing, or machine learning.
• Excellent oral and written communication skills in English.
• Strong collaboration and relationship-building skills.
• Ability to work independently and show initiative.
• Proficiency in Swedish is preferred.

Responsibilities

• Conduct experimental investigations in laboratories.
• Develop and verify models using experimental data.
• Assist in teaching and supervising PhD students.
• Model production systems in the steel industry.

Skills

Machine learning

Signal processing

Dynamic systems

Applied control engineering

Python

MATLAB

Laboratory experimentation

English proficiency

Swedish proficiency

Initiative and independence

Education

PhD in Electrical Engineering or equivalent

Job description

Högskolan i Gävle is seeking a Postdoc in Electrical Engineering focusing on AI & Digital Twins for Industry. The role includes conducting experiments and developing models to support industrial digitalisation. This position offers an opportunity to work on cutting-edge projects while collaborating closely with colleagues and students.

Applicants should hold a PhD in a related field and possess strong communication skills in both English and Swedish. The role is full-time for two years with a potential extension.