Jobs@MATH+

MATH+ Staff Member (m/f/d) | @ Technische Universität Berlin (TU)

Employee (m/f/d) – 50 % working hours – pay group 4 TV-L Berlin universities: Support for public relations and science communication at the Cluster of Excellence MATH+ (The official job announcement of TU Berlin is in German, see link below).

Working fields:

Support with the organization and implementation of MATH+ outreach events
Support in editing image, audio, and video files, in maintaining the social media channels and MATH+ website, and in creating information materials
Support in compiling math puzzles for student competitions

Requirements:

Experience in image, audio and video editing, in working with social media, in using Adobe Creative Cloud programs like Photoshop, InDesign is desired
Good working knowledge of Microsoft Office (Word, Excel, PowerPoint)
Very good knowledge of school mathematics (elementary, intermediate, secondary I+II)
Knowledge of LaTeX is desirable
Experience in working with content management systems (WordPress) desired, and experience in event organization is an advantage
Good knowledge of German and English, both written and spoken
Open and friendly nature, good communication skills
Ability to work in a team, reliability, flexibility, and the ability to work independently

Applications from students are explicitly welcome.

Please feel free to direct your questions to Beate Rogler at rogler@mathplus.de and Ariane Beier at beier@math.tu-berlin.de.

You can find the official job announcement (TU Berlin: Kennziffer II-889/22) and more information (in German) about the application procedure here.

Deadline: 03 February 2023

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PhD Student Position (m/f/d) | @ Humboldt Universität zu Berlin (HU)

Research assistant (m/f/d) with expected 75% of the regular working hours, E 13 TV-L HU (third-party funding limited until March 31, 2026)

Working fields:

The position is part of the MATH+ project EF1-23 “On a Frank-Wolfe Approach for Abs-Smooth Optimization” of the Emerging Fields (EF1) Extracting Dynamical Laws from Complex Data.
Research within the project “On a Frank-Wolfe Approach for Abs-Smooth Optimization”, esp. development and analysis of optimization algorithms based on Abs-Linearization as well as their implementation and validation, e.g., in the area of machine learning.
Tasks for own scientific qualification (PhD)

Requirements:

Completed university degree in mathematics
Very good knowledge in the field of optimization, preferably also in non-smooth optimization
Good programming skills in C/C++, Matlab, or Python

If you have any questions regarding the position, you can contact Prof. Dr. Andrea Walther directly at andrea.walther@math.hu-berlin.de.

You can find the official job announcement and information about the application procedure here.

Deadline: 24 January 2023