As part of the federal and state funding program “FH-Personal”, TH Köln will be breaking new ground in the coming years with the PLan_CV project together with partners from science, civil society, business, culture and politics. We will design and test a new, holistic “personnel development ecosystem” that represents added value for all parties involved - job holders, the university and practice partners. This model, a novelty in the university landscape, is intended to achieve greater permeability between the employment sectors for academically highly qualified people. In addition to sustainable recruitment for TH Köln, the more intensive cooperation with our partners from science, business and civil society should also have positive effects on teaching, research and knowledge transfer. The overarching goal is to increase equal opportunities, diversity and compatibility. PostDoc (f/m/d) Machine Learning & AI
temporary | full time | Campus Gummersbach
That awaits you
- independent research and application for external funding in the area of Machine Learning and AI
- independent teaching in data science, knowledge discovery and natural language processing (NLP) in the amount of 4 semester hours per week
- participation in events of the bachelor and master programs
- engagement in the supervision of doctoral students and theses
- collaboration in scientific project management and in the application for third-party funds
- networking with the Faculty of Information and Communication Sciences in the context of the focus professorship Data Science
Your skills
- University degree (master's level) as well as completed doctorate in computer science, applied mathematics, data science or comparable
- experience in research (machine learning, AI or data science) as well as in teaching (ideally machine learning, AI or data science at university level)
- knowledge in scientific project management
- basic experience in applying for external funding
- good programming skills, e.g. Python or R
- proficient in MS Office applications
- very good English and preferably good German skills
- strong analytical skills
- independent way of working
- active shaping of a cooperative teamwork
- strong organizational skills
Our offer
- remuneration according to EG 13 TV-L
- flexible working hours and telework options
- family-friendly working environment and conditions
- a wide range of training and continuing education opportunities for your professional and personal development
- insights into interdisciplinary research contexts and the opportunity for further academic training
- modern campus with high-quality equipment (also technological)
- networking with other universities and research companies, both nationally and internationally
- option to participate in university sports and health promotion programs
- University events
- free on-site parking and close to public transport
- option to purchase a discounted transit pass (Job Ticket)
- digital communication and work processes in your team
- annual extra payment according to TV-L
- 30 days paid vacation
TH Köln is committed to providing equal opportunities and seeks to increase the proportion of women in research and teaching. Thus, applications from women are given preferential consideration in case of equal suitability.
Applicants with disabilities and persons with comparable status are (also) given preference in case of equal suitability.
In principle, the position can also be part-time (e.g. job sharing option).
In principle, the position can also be part-time (e.g. job sharing option).
We look forward to receiving your application!
Application deadline: Jan 02, 2025
Application deadline: Jan 02, 2025
Your contact:
Corina Czaja
T: 0221-8275-5183
E: corina.czaja@th-koeln.de
www.th-koeln.de/jobvacancies
Legal notice
Corina Czaja
T: 0221-8275-5183
E: corina.czaja@th-koeln.de
www.th-koeln.de/jobvacancies
Legal notice
