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Assistant Professor of Computer Science (Data Science and Machine Learning) (m­­/­­f­­/­­d) 23.12.2024 Constructor University Bremen gGmbH Bremen
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Assistant Professor of Computer Science (Data Science and Machine Learning) (m/f/d)
Bremen
Aktualität: 23.12.2024

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23.12.2024, Constructor University Bremen gGmbH
Bremen
Assistant Professor of Computer Science (Data Science and Machine Learning) (m/f/d)
Aufgaben:
You will support our research and teaching activities in the field of Computer Science by establishing an independent research group focusing on research topics related to Data Science and Machine Learning, including but not limited to deep learning algorithms, predictive analytics, and big data technologies. Possible areas of interest are: 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. The university is highly supportive of junior faculty, providing both formal and informal mentoring, administrative support, as well as a flexible budget for establishing an internationally visible research group. Several opportunities exist to develop transdisciplinary research projects in collaboration with other research groups or our industrial partners.
Qualifikationen:
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

Berufsfeld

Bundesland

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