Education Requirements:

• PhD

Experience Requirements:

• Several years of relevant professional experience.

• Proven excellence in teaching foundational computer science subjects.

Other Requirements:

• Strong proficiency in both written and spoken German (C2) and English for course instruction.

• The application must include a detailed teaching concept that addresses specific ideas for improving teaching in the computer science degree programs at the University of Tübingen as well as new and innovative forms of teaching.

Responsibilities:

• Teaching 12 semester hours (SWS) per semester, including at least one large foundational course in Computer Science for the bachelor’s program at the University of Tübingen. This includes topics in technical computer science (e.g. digital technology, chip design, computer architectures, hardware/software codesign, parallel architectures, operating systems).

• Innovating and improving teaching through new formats and continual revision based on evaluations.

• Supporting Bachelor's and Master's courses in the field of computer engineering.

• Participation in collaborative research projects within the Tübingen AI Center.

• Conducting independent research and possibly leading third-party funded projects.

Education Requirements:

• Master’s degree in IT, Computer Science, or related fields.

Experience Requirements:

• Experience in Management and operation of compute facilities

• Expertise in high-performance computing and cloud infrastructure.

• Proven leadership in technical teams and ability to build strong relationships.

• Expertise in Linux administration, networking, storage clusters, ML infrastructure, and GPU computing.

• Hands-on experience with machine learning.

Other Requirements:

• Strong English (and German) communication skills.

Responsibilities:

• Lead, hire, and develop a high-performing HPC/AI cluster team.

• Oversee and advance our AI-focused HPC and cloud infrastructure.

• Ensure reliability, scalability, and high availability of computing resources.

• Collaborate with internal teams, university IT services, and external suppliers.

• Design tenders for cutting-edge AI hardware expansions.

Education Requirements:

• Advanced degree (MSc or PhD) in a relevant field

Experience Requirements:

• Experience in project management, finances and reporting in either an academic or industrial environment

• Experience in establishing networks and managing multi-stakeholder environments

• Experience working in research environments and collaborative networks

• Experience in managing complex and new projects, ideally with a focus on technology innovation

Other Requirements:

• Strong written and verbal command in English and German (C1 level or higher)

• Strong communication and organizational skills; we work with diverse teams and cultures

Responsibilities:

• Development and implementation of effective mechanisms to support technology transfer, education, entrepreneurship and societal impact of AI.

• Establishing and overseeing connections with stakeholders from public, academic and private sectors, including coordinating and collecting strategic advice and feedback

• Organizing network building activities, workshops, social events, conferences and coding schools

• Representing the AI Center’s Tech Transfer activities in meetings, conferences and public relation activities

• Supporting activities in technology transfer, entrepreneurship, and new initiatives at the Tübingen AI Center, alongside educational programs for university students, researchers, and industry partners