Internship (fmx) AI in challenging execution environments

Deutsches Zentrum für Luft- und Raumfahrt e.V. · Ulm

InternshipGerman needed: none

Still open on 11 Nov

You apply on the company's own website.

Key facts

Supporting our research work on a pre-defined core topic
Depending on your background, working independently on literature reviews, the development of software, methods, demonstrators or concepts under the guidance of a specialist member of staff
Testing the developed methods on use cases

Currently enrolled in a university degree programme (Bachelor's / Master's / University Diploma) in Computer Science, Engineering, Physics or other relevant fields
Initial experience in one or more of the following areas: machine learning methods, robotics, embedded systems, automation, neuromorphic computing, quantum computing, cryptography, cyber security
Ability to work as part of a team and experience of collaborative work in academia and/or software development
Good communication skills, including in English (spoken and written)
Proficiency in at least one relevant programming language (e.g. Python and/or C/C++)

DLR stands for diversity, appreciation and equality for all people. We promote independent work and the individual development of our employees both personally and professionally. To this end, we offer numerous training and development opportunities. Equal opportunities are of particular importance to us, which is why we want to increase the proportion of women in science and management in particular. Applicants with severe disabilities will be given preference if they are qualified.

Supporting our research work on a pre-defined core topic
Depending on your background, working independently on literature reviews, the development of software, methods, demonstrators or concepts under the guidance of a specialist member of staff
Testing the developed methods on use cases

Currently enrolled in a university degree programme (Bachelor's / Master's / University Diploma) in Computer Science, Engineering, Physics or other relevant fields
Initial experience in one or more of the following areas: machine learning methods, robotics, embedded systems, automation, neuromorphic computing, quantum computing, cryptography, cyber security
Ability to work as part of a team and experience of collaborative work in academia and/or software development
Good communication skills, including in English (spoken and written)
Proficiency in at least one relevant programming language (e.g. Python and/or C/C++)

DLR stands for diversity, appreciation and equality for all people. We promote independent work and the individual development of our employees both personally and professionally. To this end, we offer numerous training and development opportunities. Equal opportunities are of particular importance to us, which is why we want to increase the proportion of women in science and management in particular. Applicants with severe disabilities will be given preference if they are qualified.