Advanced Systems Engineer – MBSE & Collaboration

Terma Group; Søborg; Hybrid; DKK 700,000 - 900,000; Full time

Benefits offered by this job

10% paid pension and health care package

Flexible working hours

Option to work from home up to two days a week

On-site massage offers

Social and professional events

Job summary

Terma Group in Søborg, Denmark, seeks an Advanced Systems Engineer to contribute to designing and developing complex systems for future defense technologies. This role involves using model-based engineering techniques, performing system analysis and collaborating across multidisciplinary teams.

The ideal candidate should possess a PhD or postdoctoral experience in a relevant field, solid analytical skills, and an interest in model-based approaches. Our dynamic team emphasizes innovation and collaboration, fostering a supportive atmosphere for knowledge sharing.

Qualifications

• Fluent in English (professional level), Danish is an advantage.
• Strong foundation in analytical and quantitative disciplines.
• Exposure or interest in Model-Based Systems Engineering (MBSE) is a plus.

Responsibilities

• Support system-level analysis, requirements development, and architectural design.
• Contribute to defining system interactions and performance considerations.
• Explore system behavior through modeling, simulation, and scenario-based analysis.
• Develop and maintain models, documentation, and visual representations.
• Participate in design discussions and cross-team workshops.

Skills

Model-Based Systems Engineering (MBSE)

Analytical Skills

Quantitative Disciplines

Collaboration

Education

PhD or Postdoctoral experience in Computer Science, Systems Engineering, Mechanical Engineering or related field

Job description

Terma Group in Søborg, Denmark, seeks an Advanced Systems Engineer to contribute to designing and developing complex systems for future defense technologies. This role involves using model-based engineering techniques, performing system analysis and collaborating across multidisciplinary teams.

The ideal candidate should possess a PhD or postdoctoral experience in a relevant field, solid analytical skills, and an interest in model-based approaches. Our dynamic team emphasizes innovation and collaboration, fostering a supportive atmosphere for knowledge sharing.