Professor Applied Data Science and Analytics (Campus Hamburg) f/m/d
at SRH Hochschule Heidelberg
Hamburg, Hamburg, Germany -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 29 Sep, 2024 | Not Specified | 30 Jun, 2024 | N/A | Good communication skills | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
PROFESSOR APPLIED DATA SCIENCE AND ANALYTICS (CAMPUS HAMBURG) F/M/D
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, 400 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. The SRH Hochschule Heidelberg is state recognized and accredited by the German Science Council.
We are part of SRH - a leading provider of education and healthcare services with 16,000 employees. The SRH operates private colleges, education centers, schools and hospitals.
We are looking for a Professor for Applied Data and Analytics f/m/d for our new campus in Hamburg in full or parttime.
Responsibilities:
- 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
- Research and publications in the field of Data Science
- Acquisition and implementation of – preferably interdisciplinary – research projects and projects with partners in professional practice
- Participation in the further development of the study program and in academic self-administration.
- Participation in the universities international activities, in particular in the expansion and intensification of our network
- Willingness to travel to or work at other locations is an advantage
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Education Management
Teaching / Education
Generalist
Graduate
Proficient
1
Hamburg, Germany