Scientific Co-worker / Post-Doc for “Research data analysis and management in the context of augmented reality (AR) and robot-based telepresence”

Project context and researcher’s activities

The position is part of the collaborative project CO-HUMANICS funded by the Carl Zeiss Foundation in cooperation with other scientific groups at TU Ilmenau. The project investigates how co-presence of people can be improved by using AR technologies or telepresence via assistance robots. The main target group is seniors, with the aim of enabling social participation and being together with friends and relatives even in phases of limited mobility or temporarily insurmountable spatial distance. In the project, different versions of co-presence systems will be developed and evaluated by means of a user-centric design approach. Non-seniors will also be involved in the planned developments and tests. The results will thus be valid for a broad group of users.

In the collaborative project, the postdoctoral researcher addresses research questions related to the analysis of the research data collected in the project and its management. There is a certain degree of freedom in the design of the research questions and activities, which should allow independent research work to be carried out in the thematic field of the project. Due to the fact that the position is designed for several years, the research achievements could, if desired and possible, provide a basis for a habilitation. Within the framework of the project, the candidate will assume central coordination and management tasks in cooperation with the coordinator of the consortium. Furthermore, it is expected that the candidate will take over organizational and self-administrative tasks within the usual amounts.

Your profile

• University and doctorate degrees in fields such as computer science, human computer interaction, user experience (UX), neuro-informatics, media technology, electrical engineering, information technology, physics, or project-related subjects from neuroscience, psychology, or computational linguistics.
  
• Theoretical knowledge and practical experience in several of the following areas: Statistical data analysis, Big Data, machine learning, computer vision, conversation analysis, research data management, reproducible research / open science, audio / video / multimedia engineering, telecommunications, network engineering, digital signal processing, conducting/evaluating empirical studies, modeling perception and/or cognition.
  
• Good knowledge of programming languages and/or software tools such as: Python, C, C++, JavaScript, R MATLAB; SQL, Lucene/ Solr/Elasticsearch/Kibana, CKAN or similar, Git, Scikit-learn, PyTorch, Keras/TensorFlow.
  
• Interest in cross-disciplinary topics at the intersection of technology and people
  
• Very good communication skills, commitment, enthusiasm, ability to work independently, initiative and ability to work in a team. Experience in project management is an advantage.
  
• Very good written and communication skills in English and German.