We are currently looking for freelance lecturers f/m/d for our School of Health, Education and Social Sciences to teach the subject Deep Learning in Fürth.
Responsibilities
Teach master students in Digital Health and Data Science the fundamentals of deep learning
Teach the architecture and operation of linear and multilayer neural networks
Teach techniques to train and improve deep neural networks
Teach the architecture and applications of convolutional and recurrent neural networks
Implement and train neural networks using deep learning frameworks (e.g., TensorFlow, PyTorch)
Qualifications
PhD or master’s degree in Data Science or a related field
Professional experience in applications of Deep Learning
Teaching experience
Benefits
Dynamic and flexible teaching environment at a growing, international and future‑oriented university
Independent organization of teaching
Beautiful, easily accessible campus
Modern classrooms and the latest technology
Contact Prof. Dr. Clemens Werkmeister | Tel: +49 911 766 069 23 | clemens.werkmeister@srh.de
Karina Elena Bach | Personalsachbearbeiterin | Ludwig‑Guttmann‑Straße 6, 69123 Heidelberg | karinaelena.bach@srh.de
Equal Opportunity Statement 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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Responsibilities
Teach master students in Digital Health and Data Science the fundamentals of deep learning
Teach the architecture and operation of linear and multilayer neural networks
Teach techniques to train and improve deep neural networks
Teach the architecture and applications of convolutional and recurrent neural networks
Implement and train neural networks using deep learning frameworks (e.g., TensorFlow, PyTorch)
Qualifications
PhD or master’s degree in Data Science or a related field
Professional experience in applications of Deep Learning
Teaching experience
Benefits
Dynamic and flexible teaching environment at a growing, international and future‑oriented university
Independent organization of teaching
Beautiful, easily accessible campus
Modern classrooms and the latest technology
Contact Prof. Dr. Clemens Werkmeister | Tel: +49 911 766 069 23 | clemens.werkmeister@srh.de
Karina Elena Bach | Personalsachbearbeiterin | Ludwig‑Guttmann‑Straße 6, 69123 Heidelberg | karinaelena.bach@srh.de
Equal Opportunity Statement 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.
#J-18808-Ljbffr
