9 days ago
Full-time
Part-time
Mid Level
14.02.25
#medienkompetenz#digitalebildung#nachhaltigeentwicklung
Mitarbeiter*in in der Informations- und Kommunikationstechnologie (E11 TV-L Berliner Hochschulen)
Faculty IV - The Berlin Institute for the Foundations of Data and Learning (BIFOLD)
Employee in information and communication technology - salary grade E11 TV-L Berliner Hochschulen
Employee in information and communication technology - salary grade E11 TV-L Berliner Hochschulen
part-time employment may be possible
The employee will be placed in the specified pay group if all personal and pay scale requirements are met.
The campus of Technische Universität Berlin lies in the heart of the capital. We are one of Germany's leading universities of excellence and, with around 34,000 students, one of the largest technical universities. TU Berlin is a vibrant place where people work, learn, and live. Become part of BIFOLD at TU Berlin: We develop ideas for the future—for the benefit of society.
BIFOLD is one of six AI research competence centers in Germany, permanently funded by the German Federal Ministry of Education and Research (BMBF). Together, these centers form the core of Germany’s AI research ecosystem, fostering a network for the exchange of expertise and research outcomes.
We are seeking an Employee in Information and Communication Technology (f/m/x) for the research groups Management of Data Science Processes ( https://deem.berlin ) and Information Integration and Data Preparation ( https://www.tu.berlin/d2ip ).
The D2IP group conducts fundamental and applied research in data integration, preprocessing, and data science.
The DEEM group focuses on foundational research at the intersection of data management and machine learning, addressing data-related challenges in ML applications with significant economic, societal, or scientific impact.
The employee will be placed in the specified pay group if all personal and pay scale requirements are met.
The campus of Technische Universität Berlin lies in the heart of the capital. We are one of Germany's leading universities of excellence and, with around 34,000 students, one of the largest technical universities. TU Berlin is a vibrant place where people work, learn, and live. Become part of BIFOLD at TU Berlin: We develop ideas for the future—for the benefit of society.
BIFOLD is one of six AI research competence centers in Germany, permanently funded by the German Federal Ministry of Education and Research (BMBF). Together, these centers form the core of Germany’s AI research ecosystem, fostering a network for the exchange of expertise and research outcomes.
We are seeking an Employee in Information and Communication Technology (f/m/x) for the research groups Management of Data Science Processes ( https://deem.berlin ) and Information Integration and Data Preparation ( https://www.tu.berlin/d2ip ).
The D2IP group conducts fundamental and applied research in data integration, preprocessing, and data science.
The DEEM group focuses on foundational research at the intersection of data management and machine learning, addressing data-related challenges in ML applications with significant economic, societal, or scientific impact.
Tasks
Independent planning, design, creation, procurement, implementation, administration, and further development of a specialized data and analytics infrastructure for managing big data under the Linux operating system
Independent analysis and selection of hardware and software tailored to project goals.
Autonomous configuration, troubleshooting, monitoring, maintenance, and enhancement of existing servers running Linux
Self-reliant configuration, troubleshooting, monitoring, and maintenance of desktop workstations, peripherals, and presentation technology, including required servicing
Support for teaching in both research groups, including independent installation and administration of databases, web servers, web applications, version control systems, and access management for faculty and students
Requirements
Independent analysis and selection of hardware and software tailored to project goals.
Autonomous configuration, troubleshooting, monitoring, maintenance, and enhancement of existing servers running Linux
Self-reliant configuration, troubleshooting, monitoring, and maintenance of desktop workstations, peripherals, and presentation technology, including required servicing
Support for teaching in both research groups, including independent installation and administration of databases, web servers, web applications, version control systems, and access management for faculty and students
Requirements
A relevant university degree (Bachelor or FH-Diplom) e.g. in the field of computer science or comparable with significant practical experience, or equivalent qualifications and experience leading to comparable activities
Specialized expertise in designing, procuring, and administering large computing clusters for data analysis
Experience in creating technical specifications and conducting procurement processes
Excellent proficiency in English or German is required, with a willingness to acquire the missing language skills
Desirable:
Specialized expertise in designing, procuring, and administering large computing clusters for data analysis
Experience in creating technical specifications and conducting procurement processes
Excellent proficiency in English or German is required, with a willingness to acquire the missing language skills
Desirable:
Desirable qualities include strong technical understanding, quality awareness, creativity, willingness to learn, and a service-oriented, friendly working approach
Advantageous: Experience in IT support for externally funded projects
What We Offer:
Advantageous: Experience in IT support for externally funded projects
What We Offer:
Payment in accordance with the collective agreement (TV-L Berlin Universities)
Up to 30 days of annual vacation
Flexible working hours
Option for remote work (up to 40% in agreement with supervisors)
Access to diverse sports and health programs via university sports
Comprehensive training opportunities
Collaboration within a friendly team of international researchers
How to apply
Up to 30 days of annual vacation
Flexible working hours
Option for remote work (up to 40% in agreement with supervisors)
Access to diverse sports and health programs via university sports
Comprehensive training opportunities
Collaboration within a friendly team of international researchers
How to apply
Please send your application, stating the reference number, with the usual documents (i.e. at least a cover letter, CV, degree certificates, grade transcripts and a description of the research project compiled into a single PDF document, no larger than 3 MB) exclusively by e-mail to a******n@tu-******in.de.
By submitting your application via email you consent to having your data electronically processed and saved. Please note that we do not provide a guaranty for the protection of your personal data when submitted as unprotected file. Please find our data protection notice acc. DSGVO (General Data Protection Regulation) at the TU staff department homepage: https://www.abt2-t.tu-berlin.de/menue/themen_a_z/datenschutzerklaerung/ .
To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. The TU Berlin values the diversity of its members and is committed to the goals of equal opportunities. Applications from people of all nationalities and with a migration background are very welcome.
Technische Universität Berlin - Die Präsidentin - Fakultät IV, Berlin Institute for the Foundations of Learning and Data – BIFOLD, Ernst-Reuter Platz 7, Sekr.: TEL 9-2, 10587 Berlin
By submitting your application via email you consent to having your data electronically processed and saved. Please note that we do not provide a guaranty for the protection of your personal data when submitted as unprotected file. Please find our data protection notice acc. DSGVO (General Data Protection Regulation) at the TU staff department homepage: https://www.abt2-t.tu-berlin.de/menue/themen_a_z/datenschutzerklaerung/ .
To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. The TU Berlin values the diversity of its members and is committed to the goals of equal opportunities. Applications from people of all nationalities and with a migration background are very welcome.
Technische Universität Berlin - Die Präsidentin - Fakultät IV, Berlin Institute for the Foundations of Learning and Data – BIFOLD, Ernst-Reuter Platz 7, Sekr.: TEL 9-2, 10587 Berlin
Facts Published 17.01.2025 Number of employees ca. 7000 Category Technical staff Category TU Berlin Beschäftigte*r in der Informations- und Kommunikationstechnik Area of responsibility IT / Telecommunications Start date (earliest) Earliest possible Duration permanent Full/Part-time full-time; part-time employment may be possible Salary Salary grade E11
Requirements Qualification Bachelor or FH-Diplom
Contact Reference number IV-701/24 Contact person Prof. Dr. Abedjan Contact email a******n@tu-******in.de
Apply Application deadline 14.02.2025 Reference number IV-701/24 By post
Technische Universität Berlin
Technische Universität Berlin
- Die Präsidentin -
ausschließlich per E-Mail / only by email By email a******n@tu-******in.de
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