Tenure-Track: Structural Reliability & Resilience Expert

Aarhus University; Aarhus; On-site; DKK 550,000 - 750,000; Full time

Job summary

Aarhus University seeks an Assistant Professor (Tenure Track) in Structural Reliability, Risk and Resilience. The candidate will contribute to teaching, supervision and externally funded research, with a strong emphasis on uncertainty quantification and probabilistic modelling.

The position aims to strengthen the department’s competencies in structural reliability and resilience, collaborating with industry and international partners, with an expectation for high-quality research output and

Qualifications

• Experience with risk, reliability and resilience analysis of civil structures.
• Proficiency in probabilistic modelling and uncertainty quantification methods.
• Strong scientific computing skills with multiple programming languages.
• Experience in teaching structural engineering courses at B.Sc. and M.Sc. level.
• Supervising undergraduate, master, and Ph.D. theses is required.

Responsibilities

• Teach and upgrade courses related to Structural Engineering and Risk/Resilience/Reliability.
• Supervise students at B.Sc., M.Sc., and Ph.D. levels.
• Conduct research with externally funded projects at national and international level.
• Establish collaborations with industry and other stakeholders.

Skills

Risk analysis

Probabilistic modelling

Uncertainty quantification

Teaching & course development

Supervision of theses

Education

B.Sc. and M.Sc. in engineering

Doctoral degree

Tools

Python

Julia

MATLAB

C#

Job description

Aarhus University seeks an Assistant Professor (Tenure Track) in Structural Reliability, Risk and Resilience. The candidate will contribute to teaching, supervision and externally funded research, with a strong emphasis on uncertainty quantification and probabilistic modelling.

The position aims to strengthen the department’s competencies in structural reliability and resilience, collaborating with industry and international partners, with an expectation for high-quality research output and