Academic Employee (f / m / d) Applied Data Science (Campus Hamburg)

Academic Employee (f / m / d) Applied Data Science (Campus Hamburg)

SRH Hochschule Heidelberg is one of the oldest and largest private universities in Germany. It is state recognized and accredited by the German council of Science and humanities. Currently, 3, students are enrolled at six Schools. The university offers future-oriented courses in economics, computer science, media and design, engineering, social, legal and therapeutic sciences as well as psychology. At the SRH universities, students learn in a purposeful and independent manner according to the specially developed study concept CORE (Competence Oriented Research and Education). In compact scientifically and practice-based thematic units the students are qualified for professional life by activating teaching as well as competence-oriented exams.

We are looking for an Academic Employee (f / m / d) with a focus on teaching for our new Campus in Hamburg to start as soon as possible on a full-time basis. The position is initially limited to two years.

What you can look forward to :

• Professional training is a priority at SRH – you will benefit from our complete range at special rates!
• The contract also includes a company pension scheme, the possibility of part time work, a performance-related salary and a local transport pass.
• Competence-oriented teaching at the Master\’s level in English, in the particular field of handling large amounts of data and machine learning, natural language processing and deep learning.
• Supervision of case studies, internships and master thesis projects.
• Willingness to provide intensive support to students in their respective case studies each semester.
• Handling and maintaining the data infrastructure.
• Participation in the further development of the study program and in academic self-administration.
• Supervision of research projects and master\’s theses in the aforementioned areas.

Your profile :

• Completed university studies (Master of Science or doctorate is desired) in a professionally related field.
• Experience in teaching and research in applied data science as well as openness to new technologies.
• Practical knowledge with teaching experience with programming languages such as Python, R.
• Experience with tools like Tableau, OpenRefine.
• Relevant publications in these areas.
• Independent and responsible way of working.
• Very good English skills, high intercultural and social competence.

We welcome diversity and therefore emphasize that we welcome all people equally, regardless of gender, nationality, ethnic and social background, religion / belief, disability, sexual orientation and identity. Disabled applicants with equal professional and personal qualifications are given preference.

For further information please feel free to contact Felicitas Völkel ❘ Telefon –

Join our team and apply online including the code.

#J-18808-Ljbffr