Professor of Artificial Intelligence

Gruppe Global
Berlin, Germany
11 days ago

Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Job source

Tech stack

Artificial Intelligence Computer Vision Python (Programming Language) Machine Learning Natural Language Processing Tensorflow Pytorch Information Technology HuggingFace Programming Languages

Job description

  • Module responsibility and teaching of Gisma Bachelor and Master programmes as well as examination, assessments, and student supervision.
  • Active participation in programme development and quality assurance.
  • Conception, creation and adaptation of teaching and learning materials.
  • Initiate, expand and maintain cooperation with partners in industry and research.
  • Participation in accreditation procedures as needed.
  • Active participation in academic administration and committee work.
  • Further development of a personal research profile, publication of results, and other public dissemination activities.
  • Participation in student recruitment events.

Your profile

  • For an appointment you will need to fulfill all requirements according to Section 42 ff of the Brandenburg Higher Education Act (BbgHG). See the following link: §42 ff. BbgHG.

Among others the requirements for professorship are:

  • Completed university studies.
  • Proof of extraordinary qualification for scientific work in the form of an outstanding doctorate and/or outstanding scientific publications.

Requirements

  • Qualified professional experience in the field of the professorship, at least three years, two of them outside of a university after having obtained a master’s degree or equivalent.

  • You are experienced in teaching in university classrooms, with blended and online approaches. Your students confirm in their evaluations an excellent quality of teaching and pedagogical aptitude.
  • You have a high affinity for computer science topics.

· You have strong expertise in core areas of artificial intelligence, with specialized knowledge in at least one subfield such as machine learning, computer vision, or natural language processing.

· You demonstrate practical proficiency with modern programming languages, frameworks, and state-of-the-art tools and technologies commonly used in the industry, such as Python, PyTorch, TensorFlow, or Hugging Face.

· You are internationally experienced and fluent in English for teaching and research purposes.

· You demonstrate significant publications.

  • You possess research experience, ideally including the acquisition of funding.
  • You will provide new innovative directions for research and teaching.
  • Ideally, you are experienced in curriculum development and accreditation processes.

Benefits & conditions

  • A full-time employment contract, including 18 weekly semester teaching hours.
  • A versatile, innovative and international work environment in cooperation with renowned partner universities and cooperation partners.
  • The opportunity for progression within a dynamic, entrepreneurial university environment.
  • Senior responsibilities and creative freedom.
  • The opportunity for personal and professional development.

About the company

GUS Germany GmbH (GGG) is an innovative and dynamic network of world-class higher education institutions that is committed to empowering students with the knowledge and skills they need to make a positive impact in the world. Our mission is to foster visionary leaders who can drive meaningful change for society.

With a strong presence in Germany, Europe, and beyond, GGG is made up of several well-known brands, including UE (University of Europe for Applied Sciences), BSBI (Berlin School of Business & Innovation), htk academy, and GISMA University for Applied Sciences. Our thriving student body of over 10,000 learners across our institutions benefits from a wide range of academic disciplines, such as business, technology, data science, engineering, sports, and fine arts.

As part of the Global University Systems (GUS) network, which comprises over 48 universities across Europe, the USA, Australia, Asia, and South America, with over 87,000 students, we are dedicated to providing exceptional learning experiences to our students., At GGG, we are committed to creating a supportive and inclusive work environment where everyone can thrive. Our employees play a vital role in ensuring that our students succeed at every step of their career path. Join our team and be a part of a culture of innovation and excellence in education. www.gusgermany.com

Apply for this position

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