Masterand (w/m/d) Abschlussarbeit: Intelligente Energiesysteme
Drees & Sommer SE
About this role
This master's thesis opportunity focuses on developing AI-driven analysis methods for building energy systems, aiming to identify energy-saving potentials and create digital representations of analysis results. The project involves literature research, developing workflows, expanding a software framework, and summarizing results in scientific formats.
Skills
Qualifications
About Drees & Sommer SE
dreso.comDrees & Sommer is an international consulting, planning and project-management firm headquartered in Germany that delivers integrated services for real estate, infrastructure and industry. The company advises and implements projects—covering strategy, planning, cost and construction management, sustainability and digital-building solutions—to create livable, resource-efficient futures. It emphasizes interdisciplinary, end-to-end delivery from concept through construction and operation, serving clients across global markets.
About Drees & Sommer SE
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Leadership Team
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
Unlock Company Insights
View leadership team, funding history,
and employee contacts for Drees & Sommer SE.
Salary
$22k – $33k
per year
More jobs at Drees & Sommer SE
Similar Jobs
Masterand Werkstofftechnik (M/W/D)
Anglo American / De Beers Group
Master's Student - In-Car XR (m/f/x)
Mercedes
Master’s thesis worker, Indoor Air Quality
Aalto University
Darden Business Research Methods Research Assistant (Student Wage) (Remote)
University of Virginia Investment Management Company (UVIMCO)
Thesis in the field of “Comprehensive Evaluation of AI Adoption and Enhancement of AI Competence through a Corporate Learning Initiative." - REF5194B
Aumovio
Master Thesis Multi-Teacher Distillation of Self-Supervised Models for 3D Perception
Bosch Group