Professor (m/f/d) (Open Rank: W3 or W2 with Tenure-Track to W3) of Software Engineering and Art[...]

University of Technology Nuremberg; Deutschland; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading university in Nuremberg is seeking a Professor of Software Engineering and Artificial Intelligence. The candidate will play a pivotal role in establishing the Computer Science and Artificial Intelligence department through teaching and research. Responsibilities include collaborating with international researchers and overseeing academic projects. Applicants are expected to demonstrate excellence in both research and education as well as an openness to diversity and innovative teaching methods. This position is suitable for early-career or established researchers, offering a unique opportunity within a dynamic academic environment.

Leistungen

Family-friendly work options

Flexible working hours

Support for dual-career couples

Qualifikationen

• Strong academic qualifications in software engineering or AI-related fields.
• Experience in teaching and supervising graduation theses or doctoral dissertations is advantageous.
• Potentials for interdisciplinary research and technology transfer.

Aufgaben

• Represent software engineering and AI in research and teaching.
• Collaborate internationally in the field of computer science and AI.
• Participate in third-party funding applications.

Kenntnisse

AI in software engineering

Automated program generation and optimization

Verification, testing and security of software systems

Explainability of AI and of software engineering

Software for distributed, highly‐parallel AI systems

Intelligent development environments

Ausbildung

Doctorate or equivalent scientific qualification

Jobbeschreibung

Offer Description

The University of Technology Nuremberg (UTN), founded in 2021, is a living laboratory for the university of the future – adapted to the age of artificial intelligence and to constant technological, economic, and social change. Aiming to become a leading international institution with a focus on artificial intelligence, UTN is equally committed to excellence in research, teaching, and transfer. Its lean governance structure supports an agile and efficient implementation of its vision. Its sustainable, 37‐hectare and partly residential campus will form the heart of a new district in Nuremberg, not far from the historic old town. On its campus, around 6,000 students will learn from and work with around 200 professors and numerous academic and administrative staff. The academic organization of UTN is based on Departments as central structural units. The Departments of Computer Science & Artificial Intelligence and of Liberal Arts & Social Sciences are already established. Three further Departments are in development: Biological Engineering, Mechatronic Engineering, and Natural Sciences. Departments at UTN are characterized by flat hierarchies and offer exciting opportunities for challenging and rewarding career paths. UTN attaches great importance to interdisciplinary cooperation, such as interdisciplinary research on themes for which research outputs can bring about major benefits to our society and its economy. Most degree programs at UTN are offered in English. German and English are the languages of work in administration, teaching, and research, while the official and legal language is German. Digital technologies, AI and innovative applications are used in a targeted manner to improve university life and work experience for everyone. UTN is characterized by an open and inclusive culture where everyone feels welcome. Diverse backgrounds, perspectives and experiences of staff, students and stakeholders help to achieve excellence and develop talent. The Nuremberg Metropolitan Region is one of the most innovative regions in the EU. It impresses with affordable living costs, high quality of life and an urban culture close to nature. It also offers an excellent regional transport network and optimal connections to European travel routes and international transport hubs in Germany.

The University of Technology Nuremberg is looking to fill, at the earliest possible date, a position as a Professor (m/f/d) (Open Rank: W3 or W2 with Tenure‐Track to W3) of Software Engineering and Artificial Intelligence at the Department of Computer Science and Artificial Intelligence.

Your tasks:

You will represent the field of Software Engineering and Artificial Intelligence in research and teaching. You will play an important role in building up the CSAI department, including through your involvement in degree program planning. You will collaborate with outstanding international researchers in the field of computer science and artificial intelligence. In addition, you will participate in (interdisciplinary) third‐party funding applications and supervise graduation theses and doctoral dissertations.

Your profile:

These positions are intended both for early‐career researchers who show great potential for scientific development and for established researchers with a proven track record of scientific excellence. You have excellent academic qualifications for the respective career level in the field of software engineering, programming languages or system development in conjunction with artificial intelligence, with expertise in relevant subject areas, including but not limited to:

• AI in software engineering
• Automated program generation and optimization
• Verification, testing and security of software systems
• Explainability of AI and of software engineering
• Software for distributed, highly‐parallel AI systems
• Intelligent development environments

For a W2 tenure‐track position, you must demonstrate academic excellence, for example through relevant publications and first third‐party funding experience. It is advantageous if you demonstrate your potential for interdisciplinary research (e.g., on AI research) in your application and during the selection process. You have gained experience in teaching and supervising graduation theses or doctoral dissertations. It is advantageous if your research has potential applications. As a candidate for a W3 position, you must be able to demonstrate substantial achievements that underscore your academic excellence as well as your pedagogical and personal suitability: You are internationally recognized as a representative of your field. Proven achievements in interdisciplinary research are advantageous. You have a significant track record in acquiring third‐party funding. You can demonstrate your ability to manage research groups and have substantial teaching and supervisory experience. You can demonstrate the practical relevance of your research through successful technology transfer.

For either career level, we are looking for a person who demonstrates openness to the innovative departmental structures at UTN. Sensitivity and openness to diversity issues and gender equality in science are expected. An international academic background is considered an advantage. We are looking for team players who are willing to embrace something new and actively contribute to the build‐up phase of UTN.

We expect you to contribute to all English‐language courses in which the department is currently involved and will be involved in the future. We also expect you to contribute to the development of degree programs, to be committed to the implementation of innovative, digital teaching and learning concepts, and to be willing to cooperate within the department and beyond. Teaching experience in interdisciplinary contexts is considered an advantage.

The legal hiring criteria according to Article 57 Paragraph 1 and Article 60 Paragraph 3 BayHIG apply. Therefore, a university degree is a prerequisite, as well as a particular aptitude for research, usually demonstrated through a doctorate or equivalent scientific qualification. Furthermore, applicants must demonstrate additional scientific achievements beyond their doctorate or doctorate‐equivalent qualification, as well as pedagogical aptitude.

Our offer:

The University of Technology Nuremberg is rethinking the university on all levels. We offer a motivated and excellent international team in which you can contribute with all your ideas and competencies. You will be able to experience and develop new, interdisciplinary forms of research collaboration as well as teaching and learning and help us shape them. We will make sure that you are able to fully focus on your work by our modern, service‐oriented administrative units. We see diversity as an asset. The University of Technology Nuremberg is a place that offers knowledge and equal opportunities to people regardless of gender, age, sexual orientation, ideology, religion, origin or disability.

The position is suitable to be filled by severely disabled persons. Severely disabled applicants will be given preference if their suitability, qualification, and professional performance are otherwise essentially equal. We see family‐friendliness as the basis for achieving equal opportunities for men and women in science. Therefore, we offer flexible ways of working, family‐friendly times for events and meetings, as well as dual‐career options. The University of Technology Nuremberg aims at increasing the proportion of women in research and teaching and therefore strongly encourages women to apply.

Interested?

Please refer to the reference number PF‐2025‐8 in your application. Please apply by 16th January 2026 in English and with all relevant application documents:

• letter of motivation
• CV including externally funded projects and awards
• list of publications
• research statement
• teaching statement (with reference to our innovative teaching and learning concept)
• relevant university diplomas (e.g., degree certificates)
• doctoral certificate (if applicable)
• three publications most relevant to your research profile

Questions?

If you have any administrative questions please contact the Appointments Team, [e-mail]. If you have questions regarding the profile of the position, contact the Vice‐Founding Chair of the Department of Computer Science & Artificial Intelligence, Prof. Dr. Andreas Kipf, [e-mail]. You can find more information on our data privacy policy here: https://www.utn.de/en/privacy/.