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Academic Research Associate in Statics and Dynamics - Job Opportunity at Brandenburg Technical University Cottbus-Senftenberg

Cottbus, Germany
Part-time
Entry-level
Posted: February 2, 2025
Hybrid
EUR 45,000-55,000 annually at full-time equivalent (E13 TV-L scale), approximately EUR 22,500-27,500 at 50% part-time

Benefits

Flexible work arrangements with mobile work options in Berlin/Dresden/Leipzig region
Work-life balance focus with family-friendly policies
Academic research environment with excellent qualification opportunities
Attractive cost of living in Lausitz lake district
Good transportation connections to major cities
Potential for full-time position expansion

Key Responsibilities

Lead teaching activities including preparation and delivery of exercises and practicals in structural mechanics
Conduct research in uncertainty modeling and multi-purpose optimization
Develop AI-based models coupled with FE simulations
Contribute to third-party funded research projects (BMBF, DFG, industry)
Pursue doctoral studies or additional scientific achievements
Prepare scientific publications and presentations
Supervise student thesis projects

Requirements

Education

Completed university degree (Master/Diploma) in Civil Engineering or related field

Required Skills

Software and programming knowledge (MS Office, MATLAB, LaTeX, FE-Software) Scientific working methodology Independent work capability Flexibility Strong communication skills
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Sauge AI Market Intelligence

Industry Trends

Increasing integration of AI/ML with traditional engineering simulation methods is creating new demands for hybrid skill sets Growing focus on uncertainty modeling in structural engineering reflects industry shift towards more robust design methodologies Rising importance of computational methods in civil engineering education is driving demand for technically skilled educators

Role Significance

Typically part of a research group of 5-10 members under professorial supervision
Entry-level academic position with significant research and teaching responsibilities, typical qualification position for doctoral studies

Key Projects

Development of AI-enhanced structural analysis methods Uncertainty quantification in engineering systems Multi-objective optimization research Educational content development for engineering mechanics

Success Factors

Strong foundation in structural mechanics combined with modern computational methods Ability to bridge theoretical concepts with practical applications Excellence in both research and teaching activities Effective communication of complex technical concepts to students

Market Demand

High demand for specialists combining traditional civil engineering knowledge with modern computational methods and AI expertise

Important Skills

Critical Skills

Advanced numerical methods and FE analysis Programming and software development Structural mechanics fundamentals Teaching and student supervision capabilities

Beneficial Skills

Machine learning and AI integration skills Project management experience Scientific writing and presentation abilities Language skills for international collaboration

Unique Aspects

Opportunity to contribute to the technological development of the Lausitz region
Integration of cutting-edge AI methods with traditional structural engineering
Balance of teaching and research responsibilities with doctoral qualification opportunity

Career Growth

3-4 years typical for doctoral qualification, with potential academic career progression over 5-10 years

Potential Next Roles

Research Group Leader University Professor Senior Research Scientist Industrial R&D Specialist

Company Overview

Brandenburg Technical University Cottbus-Senftenberg

BTU Cottbus-Senftenberg is Brandenburg's only technical university, representing a crucial institution for technological education and research in the region

Leading technical education provider in Brandenburg with over 1,500 employees
Major employer in the Lausitz region with significant influence on local technological development
Academic environment fostering research innovation and educational excellence, with strong emphasis on work-life balance
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