Intern in the CAVES & PANGAEA Team, Development of an Analytical Toolset
Contribute to development and validation of PANGAEA analytical toolset for planetary materials.
Overview
Contribute to development and validation of PANGAEA analytical toolset for planetary materials.
You have:
- Must be a university student, preferably studying at master’s level and enrolled for the entire internship duration.
- Good knowledge of English or French required; knowledge of another ESA Member State language is an asset.
- Good understanding and practical experience in utilising, processing, and analysing data from analytical methods and instrumentation required.
- Familiarity with molecular and atomic spectroscopy techniques (VNIR, Raman, LIBS, XRF) is highly desirable.
- Ability to evaluate spectral data quality and interpret analytical outcomes.
- Experience in working with and maintaining data pipelines, digital information catalogues and databases is advantageous.
- Familiarisation with geochemistry, mineralogy, petrology, or attendance of courses related to planetary geology, astrobiology or planetology would be considered an asset.
- During the interview, your motivation for applying to this role will be explored.
Location
EAC, Porz-Wahn, Germany
Our team and mission
The CAVES and PANGAEA team specialises in training programmes that equip astronauts and mission developers with scientific, expeditionary and behavioural skills. The group’s primary output is focused on two training programmes, CAVES, a course that uses natural cave systems for expeditionary and human behavioural and performance training, and PANGAEA, a course for geological and astrobiological field training. Complementary to their training goals, these programmes are used as research and development platforms to advance several of ESA’s technological, scientific and operational areas.
One such tool developed for PANGAEA and future missions is the PANGAEA Analytical Toolset, consisting of the Mineralogical Database (MinDB), a curated collection of information on all the minerals found on the Moon, Mars and in meteorites, and the Machine Learning (ML) software that combines deep learning multi-class and multi-label classification algorithms together with data fusion from multi-method spectroscopy, allowing a drastic increase in the accuracy of automatic mineral and rock recognition.
Further information on PANGAEA and CAVES programmes can be found on the following websites:
Candidates interested are encouraged to visit the ESA website: http://www.esa.int
Field(s) of activity for the internship
Topic of the internship: Development of Analytical Toolset for recognition of Planetary Materials and Validation of Spectra Classification Methods
You are sought to contribute to the ongoing enhancement and development of the data analysis and curation part of the PANGAEA analytical toolset. Working alongside Machine Learning developers, you will collect, organise, and evaluate analytical data to ensure training datasets meet scientific standards, while offering subject matter expertise to guide ML-based algorithms development. Key responsibilities include expanding, curating and quality-assessing multi-spectral archives within the Mineralogical Database, with a focus on its analytical reference library, validation mineral samples, and petrographic information catalogue of planetary analogue minerals and rocks. You will also assist in validating spectral identification methods through expert review of ML outputs. Additional opportunities may include supporting PANGAEA training course development.
For detailed information on this internship position, please click here:
Behavioural competencies
Result Orientation Operational Efficiency Fostering Cooperation Relationship Management Continuous Improvement Forward Thinking
For more information, please refer to ESA Core Behavioural Competencies guidebook
Education
You must be a university student, preferably studying at master’s level. In addition, you must be able to prove that you will be enrolled at your University for the entire duration of the internship.
Additional requirements
The working languages of the Agency are English and French. A good knowledge of one of these is required. Knowledge of another ESA Member State language is an asset.
During the interview, your motivation for applying to this role will be explored.
You should possess a good understanding and practical experience in utilising, processing, and analysing data from analytical methods and instrumentation. In particular, familiarity with molecular and atomic spectroscopy techniques such as Visible and Near-Infrared (VNIR), Raman, Laser-Induced Breakdown Spectroscopy (LIBS), and X-ray Fluorescence (XRF) are highly desirable. Ability to evaluate spectral data quality and interpret analytical outcomes to ensure scientific integrity before data integration into the codebase. Experience in working with and maintaining data pipelines, digital information catalogues and databases would also be advantageous.Familiarisation with geochemistry, mineralogy and petrology, or attendance of courses related to planetary geology, astrobiology or planetology would be considered a valuable asset.
Diversity, Equity and Inclusiveness 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, religious beliefs, age, disability or other characteristics.
At the Agency we value diversity, and we welcome people with disabilities. Whenever possible, we seek to accommodate individuals with disabilities by providing the necessary support at the workplace. The Human Resources Department can also provide assistance during the recruitment process. If you would like to discuss this further, please contact us via email at [email protected].
Important Information and Disclaimer During the recruitment process, the Agency may request applicants to undergo selection tests.
Applicants must be eligible to access information, technology, and hardware which is subject to European or US export control and sanctions regulations.
The information published on ESA’s careers website regarding internship conditions is correct at the time of publication. It is not intended to be exhaustive and may not address all questions you would have.
Nationality
Please note that applications are only considered from nationals of one of the following States: Austria, Belgium, Cyprus, Czechia, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, the Netherlands, Norway, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden, Switzerland, and the United Kingdom.
Potential interview questions
| Can you describe your experience with data analysis and its importance in this internship role? | The interviewer is assessing your relevant experience and its impact on the internship. | Discuss specific projects where you've processed or analyzed data, focusing on your results. |
| What analytical methods have you used in your studies, and how do you think they apply to our projects? | This question evaluates your technical background and relevance to the internship. | Pro members can see the explanation. |
| How do you prioritize quality over quantity when evaluating data? | Pro members can see the explanation. | Pro members can see the explanation. |
| Which spectroscopy techniques are you familiar with, and how would you apply them in this internship? | Pro members can see the explanation. | Pro members can see the explanation. |
| Describe a project where you collaborated with others. What was your role? | Pro members can see the explanation. | Pro members can see the explanation. |
| What motivated you to apply for this internship, and what do you hope to achieve? | Pro members can see the explanation. | Pro members can see the explanation. |
| How do you keep yourself updated with advancements in geological research? | Pro members can see the explanation. | Pro members can see the explanation. |
| Can you explain how you would validate spectral identification methods? | Pro members can see the explanation. | Pro members can see the explanation. |