Professor Machine Learning and Artificial Intelligence f/m/d

As one of the largest private universities in Germany, SRH University is the innovative companion for students from over 140 nations. We are part of the leading education and healthcare provider SRH, which has been helping people to lead a self-determined life for over 50 years. We teach with passion and competence and focus on the professional and personal development of our students. At our forward-looking campuses, we offer a wide variety of study programs and models, hand in hand with business and practice. With our innovative and award-winning CORE didactics, we accompany our students individually on their path. They learn hands-on in small groups and interactive, project-based units. We see ourselves as an international, diverse and interdisciplinary community.

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 Technology and Architecture we are seeking a Professor Machine Learning and Artificial Intelligence f/m/d to round out our team. According to the Baden-Württemberg law of higher education (LHG BW) the position is limited for a period of 3 years.

• Holding competence-orientied courses in the English-language study programs on Bachelor and Master's degree level at our campus in Heidelberg
• Instructing the students in acquiring the intended competencies, conveying the necessary course content using didactically suitable methods and grading the examination results
• Supervising research, bachelor and master thesis projects including student mentoring, partner management and publication of selected works in scientific journals
• Taking responsibility for modules in the two mentioned study programs ranging from the selection and guidance of lecturers to the planning of the sessions
• Willingness to take up further academic functions, i.e. regional Head of Study Programme, and to participate in the self-administration of the school or university
• Performing other academic, organizational and administrative tasks

• At least five years of professional experience in the area of applied computer or data science or related field with specialization in ML/AI applications, of which three years must have been conducted outside university
• Knowledge of the principles of machine learning, deep learning, generative and artificial intelligence applied in modern software and data engineering and information system development, IT security, robotics, etc.
• Practical and teaching experience i.e. in programming languages such as Python, Java, etc.
• Ph.D. in Computer or Data Science with a focus on machine learning, artificial intelligence, or a related field of research
• Relevant publications and conference contributions in the field of computer and data science
• Teaching experience at a university is benefit
• Excellent English language skills
• Willingness to actively develop and accompany learning processes according to the CORE principle, as well as an independent and responsible style of working
• Innovative strength and commitment to support our dynamic university

• Work-life balance | Balanced work-life balance through mobile working and generous and flexible working hours
• Mobility | Business bike, subsidy for Germany ticket
• Development | coaching pool, parenting compass, study discount at the Mobile University and employee appraisals
• Savings offer | Corporate benefits: discount store for employees only
• Equipment | Modern office and seminar equipment
• Security | Company pension scheme and value account
• Volunteering | #TeilDeinGlück and receive additional paid time off

We are looking for the best. In this, we pay special attention to personality, talent, willingness to achieve and character.
We emphasize expressly that all people - regardless of gender, nationality, ethnic and social origin, religion/ideology, disability, age and sexual identity - are all equally welcome here. Applicants with disabilities who have equal professional and personal aptitude will be given priority and/or training.

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