Erasmus+ mobility grant<\/strong>.<\/p>\n[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner disable_element=”yes” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” bottom_padding=”3%” text_align=”left” row_position=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”hidden” pointer_events=”all”][vc_column_inner column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color=”#ffffff” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”small_depth” column_border_radius=”20px” column_link_target=”_self” overflow=”visible” advanced_gradient_angle=”0″ gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” gradient_type=”default” column_padding_type=”default”][toggles style=”minimal_shadow” accordion=”true” accordion_starting_functionality=”closed” border_radius=”20px”][toggle color=”Default” heading_tag=”h3″ heading_tag_functionality=”default” title=”Research assistant (m\/f\/d) in the field of Smart Space and IoT”][nectar_responsive_text font_size_min=”16px” font_size_max=”20px” font_size_desktop=”1.2vw” font_line_height=”1.6″]\nThe Center for Tangible Artificial Intelligence and Digitalization (ZEKI), the German-Turkish-
\nAdvanced Research Center (GT-ARC) and the Distributed Artificial Intelligence Laboratory
\n(DAI-Laboratory) at TU Berlin are leading research institutions engaged in research into
\ninnovative solutions in the fields of Smart Space and the Internet of Things (IoT). ZEKI is the
\noperator of one of the largest fully digitized smart space environments, which is constantly
\nbeing further developed.
\nTo strengthen our team, we are looking for a talented scientist to research and develop IoT
\ntechnologies, using data science, artificial intelligence (AI) and machine learning (ML).
\nThe DAI Lab at TU Berlin and the AOT department are known for excellent teaching,
\nresearch, and development in the field of agent technology and distributed artificial
\nintelligence. In cooperation with renowned partners from research and industry, we are
\ncontinuously opening new fields of application. Our focus is on autonomous driving, security
\nin networks, machine learning and interactive systems.<\/p>\n
Responsibilities:<\/strong><\/p>\n\n- 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.<\/li>\n
- Design, development and implementation of innovative algorithms and models for data analysis and processing.<\/li>\n
- Conducting experiments and feasibility studies as well as analyzing and interpreting the results<\/li>\n
- Collaboration in interdisciplinary teams to develop new solutions and improve existing systems.<\/li>\n
- Publishing and presenting research results in renowned journals and at international conferences.<\/li>\n
- Supervision of Bachelor’s and Master’s theses in the field of IoT and Smart Space.<\/li>\n
- Possibility of a doctorate in the field of work.<\/li>\n<\/ul>\n
<\/p>\n
Requirements:<\/strong><\/p>\n\n- Completed university degree (Master or Diploma) in computer science, mathematics or a related field.<\/li>\n
- Sound knowledge and practical experience in at least one of the following areas: Data Science, AI, ML, IoT.<\/li>\n
- Sound knowledge of common IoT protocols such as MaUer, ZigBee, KNX, etc.<\/li>\n
- Sound knowledge in the field of embedded systems, especially based on Linux<\/li>\n
- Experience in the application of AI and ML methods, ideally in the context of IoT<\/li>\n
- Programming skills in common programming languages such as Python, R or Java.<\/li>\n
- Strong analytical skills and crea1tivity in solving complex problems.<\/li>\n
- Very good written and spoken English; knowledge of German is an advantage.<\/li>\n
- Team spirit, commitment, and initiative.<\/li>\n<\/ul>\n[\/nectar_responsive_text][\/toggle][toggle color=”Default” heading_tag=”h3″ heading_tag_functionality=”default” title=”Researchers (m\/f\/d) for the Development of a Software Stack for Distributed AI Applications”]
The associated institute GT-ARC of Technische Universit\u00e4t Berlin is looking for research assistants (m\/f\/d) for the research project Go-KI (\u201cOpen Innovation Lab AI\u201d), funded by BMAS (Bundesministerium f\u00fcr Arbeit und Soziales) for the provisioning of a software suite for developing AI applications serving the common welfare (\u2018public-good AI\u2019).<\/p>\n
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.<\/p>\n
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.<\/p>\n
Work description:<\/strong><\/p>\n\n- Collaboration in a practice-oriented research project for simplifying the development of public-good AI applications<\/li>\n
- 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<\/li>\n
- Supervision of M.Sc. & B.Sc. theses at TU Berlin<\/li>\n
- Design and conduction of user studies, interview, workshops and talks concerning research and evaluation of the developed methods<\/li>\n<\/ul>\n
<\/p>\n
Expected qualifications:<\/strong><\/p>\n\n- Successfully completed university degree (master, diploma, or equivalent) in computer science, computer engineering, electrical engineering, or a related field<\/li>\n
- Good skill of abstraction, modelling, and finding creative solutions<\/li>\n
- Experience in software engineering with agile teams and development methods, version control, issue management, software testing, etc.<\/li>\n
- Experience in one or more of the following areas:\n
\n- Modelling and visual programming, UI development<\/li>\n
- design and implementation of large and distributed systems, API design<\/li>\n
- multi-agent systems, interaction protocols, negotiations<\/li>\n
- container technologies, virtualization, cloud computing<\/li>\n
- artificial intelligence and machine learning<\/li>\n<\/ul>\n<\/li>\n
- Very good programming skills, in particular in Java and possibly other languages<\/li>\n
- Good command of German and English<\/li>\n<\/ul>\n
<\/p>\n
What we offer:<\/strong><\/p>\n\n- An interesting and responsible occupation in a future-oriented research project with access to an attractive research environment<\/li>\n
- A collegial and motivating working environment in a highly dedicated team<\/li>\n
- Flexible working hours and the possibility for working part-time in home office<\/li>\n
- Individual offers for continuing education and personal development<\/li>\n
- Possibility for pursuing a Ph.D.<\/li>\n<\/ul>\n <\/div>[\/toggle][toggle color=”Default” heading_tag=”h3″ heading_tag_functionality=”default” title=”Wissenschaftliche Mitarbeiter*innen (m\/w\/d) f\u00fcr die Konzeption und Entwicklung eines Softwarestacks f\u00fcr verteilte KI-Anwendungen”]
Das An-Institut GT-ARC der Technischen Universit\u00e4t Berlin sucht wissenschaftliche Mitarbeiter*innen (m\/w\/d) f\u00fcr die Mitarbeit am vom Bundesministerium f\u00fcr Arbeit und Soziales (BMAS) gef\u00f6rderten Projekt Go-KI (\u201eOffenen Innovationslabor KI zur F\u00f6rderung gemeinwohlorientierter KI-Anwendungen\u201c).<\/p>\n
Im Projekt sollen Akteure (Einzelpersonen, Teams, Organisationen) dabei unterst\u00fctzt werden, gemeinwohlorientierte KI-Anwendungen zu erstellen. Dies geschieht durch die Entwicklung einer Reihe von Softwarewerkzeugen sowie durch die Veranstaltung von Workshops und Vortr\u00e4gen zur Wissensvermittlung und Problemerhebung. Ein weiterer Schwerpunkt des Projekts liegt auf Methoden zur Erkl\u00e4rbarkeit von KI-Anwendungen f\u00fcr Endanwender und Entwickler. Es sollen Methoden entstehen und praktisch nutzbar gemacht werden, die dem Endanwender die Kontrolle und eine vertrauensw\u00fcrdige Nutzung der KI erm\u00f6glichen.<\/p>\n
Neben der allgemeinen Mitarbeit in allen Bereichen des Projektes steht die Konzeption und Umsetzung eines Softwarestacks, bestehend aus Bibliotheken und Werkzeugen, f\u00fcr die Entwicklung verteilter gemeinwohlorientierter KI-L\u00f6sungen und des diese umgebenden \u00d6kosystems im Fokus der hier beworbenen Stellen.<\/p>\n
Aufgabenbeschreibung:<\/strong><\/p>\n\n- Mitarbeit in einem praxisorientierten Forschungsprojekt zur Unterst\u00fctzung gemeinwohlorientierter KI-Anwendungen<\/li>\n
- Konzeption, Implementierung und Integration einer skalierbaren und verteilten Plattform (inkl. Bibliotheken, Laufzeitumgebungen, Benutzerschnittstellen, Editoren, Werkzeuge, Verzeichnisdienste) f\u00fcr die Entwicklung und Ausf\u00fchrung gemeinwohlorientierter KI L\u00f6sungen<\/li>\n
- Betreuung von M.Sc. & B.Sc. Abschlussarbeiten an der TU Berlin<\/li>\n
- Gestaltung und Durchf\u00fchrung von Nutzerstudien, Interviews, Workshops und Vortr\u00e4gen im Rahmen der Forschung und Evaluation der entwickelten Methoden<\/li>\n<\/ul>\n
\u00a0<\/strong><\/p>\nErwartete Qualifikation:<\/strong><\/p>\n\n- Erfolgreich abgeschlossenes wissenschaftliches Hochschulstudium (Master, Diplom oder \u00e4quivalent) der Informatik, Elektrotechnik oder vergleichbarer Fachrichtung<\/li>\n
- Gute Abstraktionsf\u00e4higkeit, Modellieren und Finden kreativer L\u00f6sungen<\/li>\n
- Erfahrung in Software-Engineering mit agilen Teams und Entwicklungsmethoden, Versionskontrolle, Issue-Management, Software-Testing, etc.<\/li>\n
- Kenntnisse in einem oder mehreren der folgenden Bereiche\n
\n- Modellierung und visuelle Programmiersprachen, UI Entwicklung<\/li>\n
- Entwurf und Implementierung gro\u00dfer und verteilter Systeme, API-Design<\/li>\n
- Multi-Agenten Systeme, Interaktionsprotokolle, Verhandlungen<\/li>\n
- Container-Technologien, Virtualisierung, Cloud-Computing<\/li>\n
- K\u00fcnstliche Intelligenz und Machine Learning<\/li>\n<\/ul>\n<\/li>\n
- Sehr gute Programmierkenntnisse, insbesondere in Java und ggf. weiteren Programmiersprachen<\/li>\n
- Gute Deutsch- und Englischkenntnisse<\/li>\n<\/ul>\n
<\/p>\n
Was wir bieten:<\/strong><\/p>\n\n- Eine spannende und verantwortungsvolle T\u00e4tigkeit in einem zukunftsorientierten Forschungsprojekt mit Zugang zu einem attraktiven Forschungsumfeld<\/li>\n
- Ein kollegiales und motivierendes Arbeitsumfeld in einem engagierten Team<\/li>\n
- Flexible Arbeitszeiten und die M\u00f6glichkeit zur teilweisen Arbeit im Homeoffice<\/li>\n
- Individuelle Weiterbildungs- und Entwicklungsm\u00f6glichkeiten<\/li>\n
- M\u00f6glichkeit zur Promotion<\/li>\n<\/ul>\n <\/div>[\/toggle][\/toggles][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row type=”full_width_content” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”hidden” advanced_gradient_angle=”0″ overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none” gradient_type=”default” shape_type=””][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][\/vc_column][\/vc_row]\n","protected":false},"excerpt":{"rendered":"
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