Research Associate (m/f/d) / 11177 / Institut für Künstliche Intelligenz

Research Associate (m/f/d) (Pay group: EG 13 TV-L) Area of application: Institut für Künstliche Intelligenz in der Medizin (IKIM) Job ID: 11177 Start date: earliest possible date Scope: Full-time / 38.5 hours Contract type: Fixed-term Duration: until the end of the project duration, project-based fixed-term contract according to §14 Para. 1 TzBfG

Your tasks:

• Collaboration in research projects
• Further/new development of learning algorithms, e.g., artificial neural networks (“Deep Learning”) as well as classical “Machine Learning” methods (e.g., Random Forests, Support Vector Machines) for medical data
• Implementation and evaluation of the algorithms
• Data pre- and post-processing including conversions and application of data augmentation techniques
• Translation into practice: evaluation of the algorithms on empirical clinical data

Your profile:

• Completed university degree (Diplom or Master) in Informatik, Physik or comparable
• Excellent knowledge and practical experience in the field of “Machine Learning”, especially knowledge in handling libraries such as PyTorch, TensorFlow, Keras, Pandas and scikit-learn
• Excellent programming skills in Python and very good programming skills in another language
• Confident handling of the command line (Bash) and software versioning systems (Git)
• Experience with the Dockerization of algorithms is desirable
• Independent working style and high motivation for autonomous problem and error analysis
• Good written and spoken English skills
• Very good teamwork skills

You can look forward to:

• Optimal location of the institute in the heart of the lively and trendy Essen-Rüttenscheid district, for an optimal connection of life and work
• A secure job in the public service of the state of NRW
• Fair pay according to collective agreement (TV-L) including annual special payment and company supplementary pension
• 30 days of vacation per calendar year (based on a 5-day week)
• Interdisciplinary work with colleagues from other departments
• Working with modern equipment and certified quality standards
• Family-friendly corporate culture, e.g., company daycare center, holiday program for school-aged children, advice and support from the MitarbeiterServiceBüro in all life situations
• Diverse training and further education opportunities, e.g., in the Bildungsakademie of the UK Essen
• Health management, e.g., occupational reintegration management, vaccinations, promotion of sports offers
• Attractive additional benefits, e.g., discounted canteen meals, community events, dormitory places

Framework conditions: The classification is based on personal and collective agreement requirements. Severely disabled applicants and those treated as such according to § 2 Para. 3 SGB IX will be given preferential consideration if equally qualified. The advertised position is generally also suitable for part-time employees. UK Essen aims to increase the proportion of women in areas where women are underrepresented. You are encouraged to apply and will be given priority in the sense of the LGG if qualifications are equal. A certificate according to §23a Infektionsschutzgesetz (IfSG) regarding vaccination and serostatus for measles is required.