Assistant Professor of Computer Science (Data Science and Machine Learning) (m/f/d)

Bremen

Arbeit vor Ort Befristete Anstellung Vollzeit

Constructor University (formerly Jacobs University) is a private, state-accredited, English-language university in Bremen. We offer Bachelor, Master, and PhD programs in three schools: School of Science, School of Computer Science and Engineering, and School of Business, Social and Decision Sciences. Our principles are first-class teaching and research, international diversity, and transdisciplinary cooperation. According to the 2024 Times Higher Education (THE) World University Rankings, Constructor University is among the top 25 percent out of more than 1900 universities worldwide and is ranked as the second most international university in the world. As an international university, we attract highly talented and open-minded students from all over the world. Currently, over 1,600 students from 110 nations live and study on our residential campus. In the CHE Ranking, the most comprehensive and detailed ranking of the German-speaking higher education landscape, Constructor University has achieved top placements every year since its first participation in 2005.

Ihre Aufgaben

Neural networks and cognitive computing
Data mining and predictive modeling
Statistical learning and optimization
The successful candidate is expected to support teaching in Computer Science at Bachelor and Master level (for example, courses like "Machine Learning," «Deep Learning-, "Statistics and Data Analytics," "Recommender Systems"); as well as develop and implement innovative, pedagogically sound approaches to online, hybrid and in-person teaching and learning; advise students on their studies; and supervise Bachelor, Master-s and PhD theses and research projects.

Ihr Profil

PhD degree in Computer Science or a related discipline
Strong publication record related to Data Science and Machine Learning
Experience and success in teaching in the context of international and diverse environments
Demonstrable interest in innovative teaching and learning approaches
Experience in transferring research knowledge to solving problems in engineering and science
Responsible, self-motivated person able to work independently and as a part of a team
Excellent verbal and written communication skills
Intercultural experience and competence
Fluency in English, the language of instruction and communication on campus

Wir bieten Ihnen

Flexible working hours for work-life balance
Option for remote work
Individual onboarding, support, and development planning
Corporate fitness with EGYM Well Pass (formerly Qualitrain)
In collaboration with Deutsche Dienstrad - Lease a company bike, whether it's a bicycle, road bike, or e-bike, for both private and business use.
Green campus with recreational areas and extensive dining options
Constructor University has comprehensive sustainability and environmental programs

For any further information regarding this position, please contact Prof. Alexander Omelchenko, via Mail ( omelchenko@constructor.university ) or job-application@constructor.university . Constructor University unequivocally guarantees the academic freedom of every member of the faculty, as well as every other member of the Constructor University community. We encourage diversity in the University in ethnic, cultural, social, religious, political, and national backgrounds, as well as in individual lifestyle. Constructor University offers full equality of opportunity to all qualified applicants and is an equal opportunity employer.

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