Professor Applied Data Science and Analytics (Campus Hamburg) f/m/d
We are part of SRH - a leading provider of education and healthcare services with 17,000 employees. The SRH operates private colleges, education centers, schools and hospitals. For our School of Information, Media, and Design we are seeking a Professor f/m/d Applied Information and Data Science, at 100 % (full-time), to round out our team. The position is initially limited for a period of two years, but can also be filled for an indefinite period in special cases. We offer: We are offering a diverse, exciting position with self responsibility at a growing, international and future-oriented university. 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. A beautiful, easily accessible campus with parking, cafeteria, gym, and library on the premises complete the offer. Your 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 university's international activities, in particular in the expansion and intensification of our network Willingness to travel to or work at other locations is an advantage Your Profile: Fulfillment of the employment requirements for professors according to § 47 LHG BW Special aptitude for scientific work is usually demonstrated by a qualified doctorate or excellent subject-related practice achievements Knowledge of Big Data Analytics, Designing and Implementing Statistical Models, Statistical Data Analysis and Machine Learning Intelligent Merging, processing and analysis of complex and large datasets Practical knowledge with teaching experience with programming languages such as Python, R Experience with tools such as Tableau, Open Refine, Trifacta Relevant Publications in the domain of Applied Machine Learning, and Data Engineering Independent and responsible way of working Substantial teaching experience in university is recommended Excellent written and spoken English knowledge Willingness to actively develop accompany learning processes according to the CORE Principle Willingness to use innovative teaching concepts and their further development using digital media and technologies as well as enjoyment of educating our students Network of contacts in the data science industry is advantageous 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, Phone +49 (0) 6221 6799-215 We look forward to receiving your application online via our career portal stating the reference number 12870.