Heidelberg / 23 November 2022

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.

To strengthen our Faculty of Information, Media, and Design, we are currently seeking lecturers f/m/d on an honorary basis with a focus on Data Science for the Applied Data Science and Analytics program.

We offer:

• Dynamic and flexible working environment at a growing, international and future-oriented university
  
• A varied and interesting job
  
• Beautiful, easily accessible campus with parking spaces
  
• The opportunity to contribute your ideas to our company

Your Responsibilities:

• Conduct competency-based teaching-learning courses in big data analytics, text mining, data mining, designing and implementing statistical models
  
• Statistical data analysis, machine learning, natural language processing (NLP).
  
• Supervision and counseling of students

Your Profile:

• Knowledge of Big Data Analytics, text mining, data mining, designing and implementing statistical models, statistical data analysis, machine learning, Natural Language Processing (NLP).
  
• Proficiency in programming languages such as Python, R,
  
• Masters/PhD in computer science with a focus on data science.
  
• Knowledge of Machine Leaning, Deep Learning, and NLP.
  
• Very good command of written and spoken English

We expressly welcome diversity and therefore emphasize that we welcome all people equally, regardless of gender, nationality, ethnic and social origin, religion/belief, disability, and sexual orientation and identity.

Your questions are answered by:

Prof. Dr. Swati Chandna ❘ Phone +49 (0) 6221 6799-223

We look forward to receiving your online application, stating your earliest possible starting date and the reference number 9821:



SRH Holding SbBR | Personalabteilung | Sebastian Wilsch