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Young Graduate Trainee for Generative Modelling for Space Data

  • Organization: ESA - European Space Agency
  • Location:
  • Grade: F1 - Young Graduate Trainee - Junior level
  • Occupational Groups:
    • Outer space and satellite technology
    • Statistics
    • Information Technology and Computer Science
  • Closing Date: 2019-12-15

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EUROPEAN SPACE AGENCY

Young Graduate Traineeship Opportunity in the Directorate of Technology, Engineering and Quality.

ESA is an equal opportunity employer, committed to achieving diversity within the workforce and creating an inclusive working environment. Applications from women are encouraged.

Post
Young Graduate Trainee for Generative Modelling for Space Data

This post is classified F1.

Location

ESTEC, Noordwijk, The Netherlands 

Our team and mission
  • The Advanced Concepts & Studies Office ensures the overall coordination, coherence and performance of programme and corporate studies in support of the preparation of the Agency’s future activities in line with its long-term strategic objectives and priorities. This includes the Advanced Concepts Team (ACT), ESA’s in-house research think-tank.

    The ACT performs beyond-the-horizon multidisciplinary research for space, exploring new approaches to space-related R&D (including competitions, prizes, games), research for disruptive innovation, developing an expert network at academic level and providing a capability for fast first-look analysis of problems, challenges and opportunities. The ACT engages in collaborative research relations with university institutes and research centres, focusing on advanced research topics of potential strategic interest to the space sector and experimenting with new forms of teamwork. To achieve its goal, a multidisciplinary research environment is provided in which young scientific and engineering post-doctoral and postgraduate researchers work on emerging technologies and innovative concepts.

    More information on the Team is accessible on the ACT website (www.esa.int/act ). Candidates interested are encouraged to visit the ESA website: www.esa.int

Field(s) of activity

You will carry out most of the activity in the field of generative modelling, in particular exploring potential synergies between generative modelling and space relevant data sets with a particular emphasis on, but not limited to, guidance control & navigation. Generative modeling is intended here as an unsupervised learning task able to automatically discover and learn patterns in input data: the resulting generative model can then be used to output new examples that plausibly could have been drawn from the original data set. One obvious use in a space context is to learn how to generate real data from synthetic data, filling the “reality gap” that is particularly problematic in space science applications. In the case of a pose estimation problem (here just as an example), this would entail generating realistic textures and illumination conditions out of a synthetically generated (on ground) image of orbiting spacecraft.

Tasks will depend on your expertise and motivation and may include:

  • applications of Generative Adversarial Networks to pose-estimation.
  • using world-models to generate new scenarios/examples which are "imagined" by the prediction model, in the context of machine vision for autonomous robots for instance.
  • using generative models to augment Kelvins datasets.
  • organising a Kelvins competition on generative models.
  • proposing a new space-related application for a machine-learned generative model.
  • using generative models for creating plausible physical systems. e.g. magnetohydrodynamics of Earth-Sun interaction, estimating planetary parameters of a star system based on incomplete data
  • generative models in the context of text and information retrieval.
  • using generative models for domain adaptation.

 
Depending on the nature of the project, you may be required to interface with the academic community in these fields. You will be a full member of the ACT and therefore expected to contribute to the development and assessment of new concepts and technologies for space applications in close interaction with ACT researchers who work on a broad range of disciplines, including: informatics, artificial intelligence, climate modelling, energy systems, fundamental physics, biomimetics, computational management science and mission analysis. Based on your detailed background and interests and the Team opportunities and needs, you will be involved in a number of other ACT initiatives including studies conducted via the Ariadna scheme (www.esa.int/ariadna ) and will also participate in reporting and communicating Team results internally and externally.

Technical competencies
Knowledge of relevant technical domains
Relevant experience gained during internships/project work
Breadth of exposure coming from past and/or current research/activities
Knowledge of ESA and its programmes/projects
Behavioural competencies
Self Motivation
Communication
Continuous Learning
Cross-Cultural Sensitivity
Teamwork
Education

You should have just completed, or be in the final year of a university course at Master's level (or equivalent) in a technical or scientific discipline in particular in artificial intelligence, computer science, informatics or related fields.

Additional requirements

You should have a good background and strong interest for machine learning including deep learning and evolutionary algorithms including genetic programming and neuroevolution. Excellent programming experience (e.g. C++, C, Python) is required. Experience with GPGPU and web-technologies is an asset.

The working languages of the Agency are English and French. A good knowledge of one of these is required. Knowledge of another Member State language would be an asset. 

You should demonstrate good interpersonal skills and the capacity to work both independently and as part of a team.  

During the interview your motivation and overall professional perspective/career goals will also be explored.

Other information

For behavioural competencies expected from ESA staff in general, please refer to the ESA Competency Framework.

The closing date for applications is  15 December 2019.

If you require support with your application due to a disability, please email contact.human.resources@esa.int.

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Please note that applications are only considered from nationals of one of the following States: Austria, Belgium, the Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Luxembourg, the Netherlands, Norway, Poland, Portugal, Romania, Spain, Sweden, Switzerland, and the United Kingdom. Nationals from Slovenia, as an Associate Member, or Canada as a Cooperating State, can apply as well as those from Bulgaria, Cyprus, Latvia, Lithuania and Slovakia as European Cooperating States (ECS).

Priority will first be given to candidates from under-represented Member States.

In accordance with the European Space Agency’s security procedures and as part of the selection process, successful candidates will be required to undergo basic screening before appointment

We do our best to provide you the most accurate info, but closing dates may be wrong on our site. Please check on the recruiting organization's page for the exact info. Candidates are responsible for complying with deadlines and are encouraged to submit applications well ahead.
Before applying, please make sure that you have read the requirements for the position and that you qualify.
Applications from non-qualifying applicants will most likely be discarded by the recruiting manager.
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