Intern in the XR Lab and Space Medicine Teams

Tags: internship English language Environment
  • Added Date: Wednesday, 01 November 2023
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Internship Opportunity in the Directorate of Human and Robotic Exploration Programmes.

ESA is an equal opportunity employer, committed to achieving diversity within the workforce and creating an inclusive working environment. We therefore welcome applications from all qualified candidates irrespective of gender, sexual orientation, ethnicity, beliefs, age, disability or other characteristics. Applications from women are encouraged.

Location Cologne

Our team and mission

This position is based at the European Astronaut Centre (EAC) - Near Cologne, Germany

Within the XR-Lab, the trainee will work on Virtual Reality applications for astronaut training, medical mission operations and space exploration. The potential usage of XR (Virtual Reality, Augmented Reality or Mixed Reality) and associated haptic devices at EAC are suitable for EVA, robotics, LUNA analogue facility and onboard ISS purposes requiring incremental preparation, prototyping and tests of tools helping the crew and ground support personal to design, prepare or complement space training. XR at EAC is also used in support of mission design for various missions (Low Earth Orbit, EL3 on the Moon, Gateway around the Moon or Mars). When used in weightlessness conditions, XR hardware and software necessitate specific research, modification, tests or ground up design to ensure full realism, functionality, and robust tracking in Zero-G conditions.

For further information visit our web site: http://www.esa.int

Field(s) of activity for the internship

Topic: Computer vision expert in the support of the Medical Augmented Reality Assistant

Technological advancements in the areas of AR have created new possibilities for terrestrial learning and training, allowing information to be presented in different ways and releasing users from the need to see a display screen to retrieve information by allowing them to look directly at the object(s) of interest. As such these technologies provide an opportunity to develop โ€˜advancedโ€™ procedures for the operation of medical devices. Such an approach has the potential to increase the quality of procedures, both in terms of the delivery of information and ease with which they can be followed by a crewmember with limited or no medical knowledge or experience.

To enable such solution, we propose to focus this position on computer vision supporting the development of MARA (Medical AR Assistant). Activities would include:

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