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Associate jobs in Germany

Research Associate in Architectural Informatics

Polytechnicpositions

München
On-site
EUR 50,000 - 65,000
27 days ago
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BD Relationship Management Support, Associate

GCM Grosvenor

Frankfurt
On-site
EUR 60,000 - 80,000
27 days ago

Associate (m/w/x) - Environment, Planning, Regulatory

Freshfields

Düsseldorf
On-site
EUR 70,000 - 90,000
27 days ago

Sales Associate (fixed term contract- 12 months)

Too Good To Go

Berlin
On-site
EUR 20,000 - 40,000
27 days ago

Associate Account Manager

Expedia, Inc.

Germany
Remote
EUR 40,000 - 55,000
27 days ago
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(Associate) Director (m/f/d) Global Reliability Engineering

Tevapharm

Ulm
Hybrid
EUR 90,000 - 120,000
28 days ago

Client Success Associate (f/m/d) – Food Robotics Operations

Circus Group

Bonn
On-site
EUR 20,000 - 40,000
28 days ago

Associate Medical Safety Director (m / w / d)

IQVIA

Frankfurt
On-site
EUR 80,000 - 100,000
28 days ago
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Associate, Private Equity and Consulting Clients - (January 2026 Start) (m/f/d)

Third Bridge Group Limited

München
On-site
EUR 52,000 - 60,000
28 days ago

Analyst / Associate Venture Development (m/w/d)

EGS Energy

Frankfurt
On-site
EUR 50,000 - 70,000
28 days ago

Warehouse Associate (Fachkraft für Lagerlogistik / Lagermitarbeiter) (m/w/d)

Coloplast

Hamburg
On-site
EUR 35,000 - 45,000
28 days ago

Senior Associate/Assoziierter Partner (m/w/d) für den Bereich Transport, Vertrieb und Commercial

Fricke Finance & Legal GbR

Frankfurt
On-site
EUR 40,000 - 60,000
28 days ago

(Senior) Associate Employment & Pensions (w/m/d)

Noerr Partnerschaftsgesellschaft mbB

Berlin
On-site
EUR 65,000 - 85,000
29 days ago

Client Success Associate (f/m/d) – Food Robotics Operations

Circus Group

Düsseldorf
On-site
EUR 40,000 - 60,000
29 days ago

(Senior) Associate Dispute Resolution (w/m/d)

Noerr Partnerschaftsgesellschaft mbB

Frankfurt
On-site
EUR 70,000 - 100,000
29 days ago

Senior Associate Restructuring & Insolvency (w/m/d)

Noerr Partnerschaftsgesellschaft mbB

München
On-site
EUR 60,000 - 80,000
29 days ago

Associate Director, Statistics

Warman O'Brien

Frankfurt
On-site
EUR 90,000 - 130,000
29 days ago

Associate @ b2venture Fund

b2venture GmbH

Berlin
On-site
Confidential
29 days ago

Business Development Associate (m/w/d)

Grundwerk Digital

Germany
Hybrid
Confidential
29 days ago

Praktikant (m/w/d) Founders Associate / Business Development

YGO GmbH

Berlin
On-site
Confidential
29 days ago

Rechtsanwalt / Associate | Funds | Frankfurt

Taylor Root

Frankfurt
On-site
EUR 80,000 - 100,000
29 days ago

Client Success Associate (f / m / d) – Food Robotics Operations

Circus SE

Bonn
On-site
EUR 40,000 - 50,000
29 days ago

Associate Global Quality Documentation (f/m/d)

Ingredion Incorporated

Wesenberg
On-site
EUR 45,000 - 65,000
29 days ago

Sales Associate (m/w/d)

Sportyjob

Ochtrup
On-site
EUR 15,000 - 25,000
29 days ago

Research Associate (m/f/d) in the field of computer science

Bremen Research

Bremen
Hybrid
EUR 40,000 - 60,000
29 days ago

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Research Associate in Architectural Informatics
Polytechnicpositions
München
On-site
EUR 50.000 - 65.000
Full time
27 days ago

Job summary

A leading university in Germany seeks a Research Associate to participate in the interdisciplinary project 'InsAIderKnowledge'. The role demands expertise in Deep Learning and Building Information Modelling, with opportunities for publishing research. Applicants should hold a suitable master's degree and possess strong programming skills. The position offers a vibrant academic environment, focusing on digitalization in architecture and artificial intelligence.

Benefits

Diverse and fulfilling job
Pleasant working atmosphere
Modern workplace

Qualifications

  • A university degree (master’s or diploma) in a suitable discipline.
  • In-depth skills in programming and working with Deep Learning methods.
  • Confident in written and spoken English (C1 or greater).

Responsibilities

  • Collaboration in the research project 'InsAIderKnowledge'.
  • Research and development into knowledge-driven systems.
  • Supervision of students in the academic environment.

Skills

Programming
Deep Learning
Building Information Modelling
Publishing scientific texts
Analytical and creative thinking
Teamwork and communication

Education

University degree in computer science, architecture, civil engineering, or geodesy
Job description
Research Associate in Architectural Informatics
Technical University of Munich
Germany

The Chair of Architectural Informatics at the Technical University of Munich is looking for a research associate (m/w/d) for the research in the frame of the project InsAIderKnowledge funded by the Georg-Nemetschek-Institute for the duration of 48 Months. The candidate has the opportunity to pursue a doctoral degree (PhD). Renumeration is 100% TVL E13 according to the German Public Sector Rates.

The interdisciplinary team at the Chair of Architectural Informatics deals with digitalization topics in the fields of architecture in teaching and research and serves as a bridge between the fields of computer sciences and architecture. The focus lies mainly on Building Information Modelling, decision-support methods in urban planning and knowledge-based design methods.

As part of the interdisciplinary research project “InsAIderKnowledge - Spatial Structure Estimation of Buildings from Outer Building envelopes” funded by the Georg-Nemetschek-Institute, methods of artificial intelligence for the built environment will be developed in collaboration with teams led by Prof. Dr.-Ing. Matthias Niessner (Chair of Visual Computing and Artificial Intelligence, School of Computation, Information and Technology) and Prof. Andreas Hild (Professorship of Architectural Design, Rebuilding and Conservation).

Your Responsibilities:

  • Collaboration in the research project “InsAIderKnowledge” / sub-project “AI-based knowledge-driven reconstruction of floor plans using multiple image data sources”
  • Research and development into knowledge-driven systems and their integration into generative AI
  • Providing scientific Publications and Presentations in English.
  • Contribute to the academic university environment by supervising students.

The above-mentioned subject areas define the content of the job profile. The applicant’s own thematic priorities are welcome and can be included in the formulation of the research project.

Your Qualifications:

  • A university degree (master’s or diploma) in either computer science, architecture, civil engineering, or geodesy with a specialization in Deep Learning, or in a comparable thematically appropriate discipline.
  • In-depth skills in programming and working with Deep Learning methods.
  • Expertise in the field of Building Information Modelling, ontologies, and point clouds is greatly beneficial
  • Experience in publishing scientific texts
  • Confident in written and spoken English (C1 or greater)
  • Written and spoken German is beneficial
  • Enthusiasm for the challenges of digitalization in the built environment and artificial intelligence
  • Capable of and interested in analytical, creative, and interdisciplinary thinking
  • High level of commitment, independence, and initiative
  • Systematic way of working and high reliability
  • Ability to work in a team and to communicate

Our Offer:We offer you a diverse and fulfilling job in a modern, renowned university, a pleasant working atmosphere, and collaboration on interesting research projects. You will work independently in a dynamic, team-oriented, and interdisciplinary environment with various objectives. You can expect a modern, well-equipped workplace in a central and convenient location in Munich.

Granting equal opportunities is part of our personnel policy. TUM encourages applications from qualified female candidates. Handicapped applicants will be given preference in the case of equal qualifications.

If you are interested, please send your complete and compelling application documents no later than 31.10.2025 by email to the address below. Please use the keyword [InsAIderKnowledge] in the email’s subject header.


In your application, please refer to Polytechnicpositions.com

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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