Research assistant - salary grade E 13 TV-L Berliner Hochschulen - 1st qualification period (PhD candidate)

The DAMS Lab research group is looking for a research associate (d/m/w) to join the team with a special focus on system infrastructure for data-centric machine learning pipeline sand their efficient and scalable execution in local and distributed environments. Topics of interest include:

• Language abstractions for data-centric machine learning (ML) pipelines
• Compilation techniques for linear algebra programs
• Runtime kernels and parallelization strategies for linear algebra programs
• ML system internals like memory management and I/O
• Support for heterogeneous hardware accelerators
  Teaching tasks.

• Successfully completed academic university degree (master's degree, diploma or equivalent) in Computer Science or a related field of study. We are also open to domain-specific backgrounds if there is a willingness to close any gaps in the necessary CS background.
• Strong background in the areas of data management, applied machine learning, distributed systems, and software engineering
• Programming experience in Python and Java C/C++
• The ability to teach in German and/or in English is required; willingness to acquire the respective missing language skills
• Basic experience in research methods and scientific writing

Desirable:

• Programming experience in C/C++
• Ability to communicate and work in a team, independent working style, high motivation
• Experience in teaching and didactic competence is an advantage

Please send your application with the reference number and the usual documents (Cover Letter, CV, transcripts, degrees; in one file max. 10 MB) only via email to jobs@dams.tu-berlin.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, Institute of Software Engineering and Theoretical Computer Science, FG Big Data Engineering, Prof. Dr.-Ing. Böhm, Ernst-Reuter-Platz 7, 10587 Berlin