Professor in Computer Science - Bremen, Deutschland - Jacobs University Bremen

Jacobs University Bremen
Jacobs University Bremen
Geprüftes Unternehmen
Bremen, Deutschland

vor 1 Woche

Lena Wagner

Geschrieben von:

Lena Wagner

beBee Recruiter


Beschreibung

Constructor University (formerly Jacobs University Bremen gGmbH)

is a private, state-accredited, English-language research university in Bremen.

We are offering PreDegree, Bachelor, Master or PhD programs in three schools:

School of Science, School of Computer Science & Engineering, School of Business, Social & Decision Sciences and are involved in the professional development of specialists and managers and in the transfer of knowledge.

Our principles are first class research and teaching, international diversity and transdisciplinary cooperation. As an international university we attract highly talented and open-minded students from all over the world. Currently, more than 1,500 students from over 100 nations live and study on our residential campus.


Professor in Computer Science (m-f-d)**:

(Full-time, open rank)


Job ID 23-53**:


  • Among several other strategic interventions, the university is currently driving an ambitious expansion of digital sciences across its academic and scientific programs and activities, underpinned by significant new investments in personnel, research and relevant scientific equipment. This initiative is intended to improve integration and interdisciplinarity across the three schools in teaching, learning and research. In this context, a new academic position has been opened in Computer Science.

Your responsibilities:


  • In this position, you will support our research and teaching activities in the field of Data Science and Artificial Intelligence, with specific focus on one or more of the following fields:
  • Machine Learning
  • Deep Learning
  • Big Data, Data Analytics
  • You are also expected to contribute to the development and implementation of innovative, pedagogically sound approaches to online, hybrid and inperson teaching and learning; advise students on their studies; and supervise Bachelor, Master's and PhD theses and research projects

Your qualifications:


  • PhD degree in Computer Science, Data Science or a related discipline
  • Strong publication record related to data science in the relevant field of specialization
  • Experience and success in teaching in the context of international and diverse environments
  • Demonstrable interest in innovative teaching and learning approaches
  • Track record of successful acquisition of research funding
  • Experience in transferring research knowledge to solving problems in engineering and science
  • Responsible, selfmotivated person able to work independently and as a part of a team
  • Excellent verbal and written communication skills
  • Fluency in English, the language of instruction and communication on campus
  • Intercultural experience and competence

What you can expect:

Constructor University consistently achieves top results in national and international university rankings.


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.


In addition to an exciting and varied range of tasks, we offer flexible working hours, individual training opportunities, sports activities, and participation in language courses on our campus.


  • The result counts: trust working hours for worklife balance
  • Possibility to work remotely
  • Individual onboarding, career
- and development planning

  • Company fitness program offers with EGYM Well Pass (former Qualitrain)
  • Constructor University has extensive programs on sustainability, environmental sustainability, equal opportunities and high ethical values


If you enjoy a dynamic international working environment and like to work in a highly motivated and friendly team, you are exactly right with us You can expect an open corporate culture with flat hierarchies as well as interesting and challenging tasks.

During your induction, you will be optimally prepared for your area of responsibility.

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