Job Posting for a Position as Research Associate / Ph.D. Candidate at the TUM School of Social Sciences and Technology, Professorship for Societal Computing

24.01.2024, Wissenschaftliches Personal

The Professorship for Societal Computing is looking for a full-time (100%) Research Associate / Ph.D. Candidate (m / f / d) as soon as possible.

The Professorship for Societal Computing at the TUM School of Social Sciences and Technology focuses on the relationship between society and computing technologies, exploring how digital technologies influence our social behavior, structures, and systems. It also researches how we can use machine learning and other tools to better understand and improve society.

We are looking for a full-time (100%)
Research Associate / Ph.D. Candidate (m / f / d)
as soon as possible. The position is initially limited to three years with the option of extension.

Requirements:

• A completed degree (M.Sc. or equivalent) in Computer Science, Artificial Intelligence, Human-Computer Interaction, Computational Social Science, or a relevant field.

• Passion for fundamental research in Machine Learning that can lead to the development of tools important for society.

• Ability to work independently and in a structured manner.
• Team and communication skills.

• Strong programming skills in Python, experience with Pytorch or Tensorflow. Knowledge in R is advantageous.

• Preferably experience in databases.

• Preferably experience in leading or collaborating on research projects.

• Preferably experience with publications at leading ML conferences (such as NeurIPS, ICML, etc.) or in the field of AI ethics (FAccT, AIES, EAAMO, SATML).

• Additional experience in qualitative and mixed methods is a bonus.

Tasks:

• Conduct fundamental and innovative research in Machine Learning, including but not limited to Multimodal Foundation Models, Embeddings, Red Teaming, Fairness, and Robustness.

• Transform the generated knowledge into tools and policy recommendations that can empower creators, gig workers, and users of ML technologies.

• Close collaboration with the Civic Machines Lab.

• Publication of influential research results in scientific journals and presentations at leading conferences.

• Development and teaching of courses at the bachelor's or master's level at the Technical University of Munich.

We Offer:

• An interesting and challenging job in a new, motivated team.

• The opportunity to conduct top-level research at the intersection of AI and society.

• Collaboration with stakeholders and universities in Germany, the EU, the U.S.A., and worldwide.

• Close connection to the Civic Machines Lab at the TUM Think Tank, which aims to apply engineering principles to find the best solutions for social problems.

• The opportunity to work with research assistants and other scientists.

• Project leadership and development of your own scientific brand name.

• Constructive mentoring for success in science.

Your workplace is located at Richard-Wagner-Strasse 1 in Munich (TUM School of Social Sciences and Technology), near the Munich Central Station and is easily accessible by public transport.

Compensation is based on qualifications up to pay grade E13 TV-L.
The Technical University of Munich is committed to increasing the proportion of women. Therefore, qualified women are explicitly welcomed.

The position is suitable for people with disabilities. Applicants with disabilities will be given preference if they have essentially the same qualifications, abilities, and professional performance.

Application:

If we have piqued your interest, please send your meaningful application with file number SOT 2024-01_SOC by March 1st 2024 at the latest via email (in one PDF file) or in writing to

Technical University Munich
TUM School of Social Sciences and Technology
Professorsip of Societal Computing
Prof. Orestis Papakyriakopoulos
Arcisstrasse 21
80333 Munich

[email protected]

For written applications, please submit only copies as we cannot return your application documents after the process is completed.

When applying for a position at the Technical University of Munich (TUM), you submit personal data. Please note our data protection information according to Art. 13 General Data Protection Regulation (GDPR) [http://go.tum.de/554159] for the collection and processing of personal data as part of your application. By submitting your application, you confirm that you have taken note of TUM's data protection information.

For more information about us, please visit: www.sot.tum.de

The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.

Data Protection Information:
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.

Kontakt: Technical University Munich TUM School of Social Sciences and Technology Professorsip of Societal Computing Prof. Orestis Papakyriakopoulos Arcisstrasse 21 80333 Munich [email protected]