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Students in Berlin: If you want to gain practical experience in exciting ICT and AI projects, while financially supporting your studies, do not hesitate to contact us at jobs@gt-arc.com.

International Students: We regularly host summer interns with Erasmus+ mobility support at GT-ARC, in cooperation with our partner institutes DAI-Lab and ZEKI. To apply for Summer 2025 internship, please fill in this online application form by 31.01.2025.

Research assistant (m/f/d) in the field of Smart Space and IoT

The Center for Tangible Artificial Intelligence and Digitalization (ZEKI), the German-Turkish-
Advanced Research Center (GT-ARC) and the Distributed Artificial Intelligence Laboratory
(DAI-Laboratory) at TU Berlin are leading research institutions engaged in research into
innovative solutions in the fields of Smart Space and the Internet of Things (IoT). ZEKI is the
operator of one of the largest fully digitized smart space environments, which is constantly
being further developed.
To strengthen our team, we are looking for a talented scientist to research and develop IoT
technologies, using data science, artificial intelligence (AI) and machine learning (ML).
The DAI Lab at TU Berlin and the AOT department are known for excellent teaching,
research, and development in the field of agent technology and distributed artificial
intelligence. In cooperation with renowned partners from research and industry, we are
continuously opening new fields of application. Our focus is on autonomous driving, security
in networks, machine learning and interactive systems.

Responsibilities:

  • Research and development in the field of IoT and Smart Space, with a focus on the integration and application of Data Science, AI and ML.
  • Design, development and implementation of innovative algorithms and models for data analysis and processing.
  • Conducting experiments and feasibility studies as well as analyzing and interpreting the results
  • Collaboration in interdisciplinary teams to develop new solutions and improve existing systems.
  • Publishing and presenting research results in renowned journals and at international conferences.
  • Supervision of Bachelor’s and Master’s theses in the field of IoT and Smart Space.
  • Possibility of a doctorate in the field of work.

 

Requirements:

  • Completed university degree (Master or Diploma) in computer science, mathematics or a related field.
  • Sound knowledge and practical experience in at least one of the following areas: Data Science, AI, ML, IoT.
  • Sound knowledge of common IoT protocols such as MaUer, ZigBee, KNX, etc.
  • Sound knowledge in the field of embedded systems, especially based on Linux
  • Experience in the application of AI and ML methods, ideally in the context of IoT
  • Programming skills in common programming languages such as Python, R or Java.
  • Strong analytical skills and crea1tivity in solving complex problems.
  • Very good written and spoken English; knowledge of German is an advantage.
  • Team spirit, commitment, and initiative.

Researchers (m/f/d) for the Development of a Software Stack for Distributed AI Applications

The associated institute GT-ARC of Technische Universität Berlin is looking for research assistants (m/f/d) for the research project Go-KI (“Open Innovation Lab AI”), funded by BMAS (Bundesministerium für Arbeit und Soziales) for the provisioning of a software suite for developing AI applications serving the common welfare (‘public-good AI’).

The goal of the project is to support various target user groups (individuals, teams, organizations) in the realization of public-good AI applications through the development of a comprehensive set of software libraries and tools as well as the organization of workshops and colloquia for knowledge transfer with the target user groups. Another cornerstone of the project is the development and evaluation of methods for explainable AI.

Besides general collaboration in all parts of the project, the positions advertised here focus on the design and implementation of a software stack, consisting of libraries and tools for the development of distributed AI applications.

Work description:

  • Collaboration in a practice-oriented research project for simplifying the development of public-good AI applications
  • Design, implementation and integration of a scalable, distributed platform (including libraries, runtime environments, user interfaces, editors, tools, repositories) for the development and execution of AI applications
  • Supervision of M.Sc. & B.Sc. theses at TU Berlin
  • Design and conduction of user studies, interview, workshops and talks concerning research and evaluation of the developed methods

 

Expected qualifications:

  • Successfully completed university degree (master, diploma, or equivalent) in computer science, computer engineering, electrical engineering, or a related field
  • Good skill of abstraction, modelling, and finding creative solutions
  • Experience in software engineering with agile teams and development methods, version control, issue management, software testing, etc.
  • Experience in one or more of the following areas:
    • Modelling and visual programming, UI development
    • design and implementation of large and distributed systems, API design
    • multi-agent systems, interaction protocols, negotiations
    • container technologies, virtualization, cloud computing
    • artificial intelligence and machine learning
  • Very good programming skills, in particular in Java and possibly other languages
  • Good command of German and English

 

What we offer:

  • An interesting and responsible occupation in a future-oriented research project with access to an attractive research environment
  • A collegial and motivating working environment in a highly dedicated team
  • Flexible working hours and the possibility for working part-time in home office
  • Individual offers for continuing education and personal development
  • Possibility for pursuing a Ph.D.

Wissenschaftliche Mitarbeiter*innen (m/w/d) für die Konzeption und Entwicklung eines Softwarestacks für verteilte KI-Anwendungen

Das An-Institut GT-ARC der Technischen Universität Berlin sucht wissenschaftliche Mitarbeiter*innen (m/w/d) für die Mitarbeit am vom Bundesministerium für Arbeit und Soziales (BMAS) geförderten Projekt Go-KI („Offenen Innovationslabor KI zur Förderung gemeinwohlorientierter KI-Anwendungen“).

Im Projekt sollen Akteure (Einzelpersonen, Teams, Organisationen) dabei unterstützt werden, gemeinwohlorientierte KI-Anwendungen zu erstellen. Dies geschieht durch die Entwicklung einer Reihe von Softwarewerkzeugen sowie durch die Veranstaltung von Workshops und Vorträgen zur Wissensvermittlung und Problemerhebung. Ein weiterer Schwerpunkt des Projekts liegt auf Methoden zur Erklärbarkeit von KI-Anwendungen für Endanwender und Entwickler. Es sollen Methoden entstehen und praktisch nutzbar gemacht werden, die dem Endanwender die Kontrolle und eine vertrauenswürdige Nutzung der KI ermöglichen.

Neben der allgemeinen Mitarbeit in allen Bereichen des Projektes steht die Konzeption und Umsetzung eines Softwarestacks, bestehend aus Bibliotheken und Werkzeugen, für die Entwicklung verteilter gemeinwohlorientierter KI-Lösungen und des diese umgebenden Ökosystems im Fokus der hier beworbenen Stellen.

Aufgabenbeschreibung:

  • Mitarbeit in einem praxisorientierten Forschungsprojekt zur Unterstützung gemeinwohlorientierter KI-Anwendungen
  • Konzeption, Implementierung und Integration einer skalierbaren und verteilten Plattform (inkl. Bibliotheken, Laufzeitumgebungen, Benutzerschnittstellen, Editoren, Werkzeuge, Verzeichnisdienste) für die Entwicklung und Ausführung gemeinwohlorientierter KI Lösungen
  • Betreuung von M.Sc. & B.Sc. Abschlussarbeiten an der TU Berlin
  • Gestaltung und Durchführung von Nutzerstudien, Interviews, Workshops und Vorträgen im Rahmen der Forschung und Evaluation der entwickelten Methoden

 

Erwartete Qualifikation:

  • Erfolgreich abgeschlossenes wissenschaftliches Hochschulstudium (Master, Diplom oder äquivalent) der Informatik, Elektrotechnik oder vergleichbarer Fachrichtung
  • Gute Abstraktionsfähigkeit, Modellieren und Finden kreativer Lösungen
  • Erfahrung in Software-Engineering mit agilen Teams und Entwicklungsmethoden, Versionskontrolle, Issue-Management, Software-Testing, etc.
  • Kenntnisse in einem oder mehreren der folgenden Bereiche
    • Modellierung und visuelle Programmiersprachen, UI Entwicklung
    • Entwurf und Implementierung großer und verteilter Systeme, API-Design
    • Multi-Agenten Systeme, Interaktionsprotokolle, Verhandlungen
    • Container-Technologien, Virtualisierung, Cloud-Computing
    • Künstliche Intelligenz und Machine Learning
  • Sehr gute Programmierkenntnisse, insbesondere in Java und ggf. weiteren Programmiersprachen
  • Gute Deutsch- und Englischkenntnisse

 

Was wir bieten:

  • Eine spannende und verantwortungsvolle Tätigkeit in einem zukunftsorientierten Forschungsprojekt mit Zugang zu einem attraktiven Forschungsumfeld
  • Ein kollegiales und motivierendes Arbeitsumfeld in einem engagierten Team
  • Flexible Arbeitszeiten und die Möglichkeit zur teilweisen Arbeit im Homeoffice
  • Individuelle Weiterbildungs- und Entwicklungsmöglichkeiten
  • Möglichkeit zur Promotion