Intern in the Space Training Team, Machine Learning (CAVES & PANGAEA)
at European Space Agency
Wahn, Nordrhein-Westfalen, Germany -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 30 Nov, 2024 | Not Specified | 18 Nov, 2024 | N/A | Data Mining,Python,Keras,Javascript,Programming Languages,Visualisation,Numpy,Statistics,Recommender Systems,Data Fusion,Scikit Learn,Databases,Machine Learning | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
EUROPEAN SPACE AGENCY
Intern in the Space Training Team, Machine Learning (CAVES & PANGAEA)
Job Requisition ID: 19144
Closing Date: 30 November 2024 23:59 CET/CEST
Publication: External Only
Type of Contract: Intern
Date Posted: 13 November 2024
Internship Opportunity in the Directorate of Human and Robotic Exploration Programmes.
EDUCATION
You must be a university student, preferably in your final or second-to-last year of a university course at Master’s level and you need to remain 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 Member State language would be an asset.
Practical experience in Machine Learning based classifications (and/or data mining, data fusion, statistics, clustering, decomposition/unmixing, recommender systems or other alternative classification methods), or in the processing and analysis of data coming from analytical instrumentation, or with databases. Academic or professional experience with the programming languages and frameworks currently used in the project: Python, TensorFlow, Keras, Scikit-learn, Numpy, matplotlib. Additional experience in Jupiter notebook, JavaScript, analysis and visualisation of scientific data is considered a plus. Experience in integrating of MLOps software and datasets together will be considered valuable.
Responsibilities:
Please refer the Job description for details
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Proficient
1
Wahn, Germany