Internship in the field of “Satellite Image Time Seies Analysis (SITS) Using Deep Learning”
Fondazione Bruno Kessler
- Trento
- Formazione
- Full time
More information about the RSDE Research Unit can be found at https://rsde.fbk.eu/Planned activities
The RSDE Research Unit of the Digital Society Center is looking for a young recent graduate interested in pursuing an internship experience in the analysis of remote sensing image time series for Earth observation. The ideal candidate is a proactive and dynamic young person with good organizational and interpersonal skills, with a propensity for teamwork, motivated to undertake a training experience in an international context.The intern, working alongside the Research Unit staff, will mainly contribute to the following activities:Analyzing Multi-temporal/Multi-annual satellite image time series
Developing Deep learning architectures for land cover and/or land cover changes analysis
Validate the proposed method and analyze the results.
The opportunity to join the team in other active and developing projects during the internship period and to gain experience in a dynamic and challenging environment such as FBK will also be offered.Requirements
Being enrolled in or holding a Master on telecommunication engineering, computer science, data science, artificial intelligence; Knowledge of major subjects related to remote sensing and image processing; Fluent knowledge of written and spoken Italian and English (min. level B2); Relational and teamwork skills; Good adaptability, flexibility and initiative skills; Programming skills in python and/or MATLAB. Experience in designing, implementing, and using containerize software solutions in research environments.
Internship informationInternship start date June
Internship experience duration: 6 months for extra-curricular internships.
Opportunity reserved to students enrolled in Master's degree or recently graduated (for extra-curricular internships, the degree must not have been obtained more than 12 months ago).
The internship experience will take place at the Science and Technology Cluster at the Povo location.
We offer support in finding accommodation at affiliated facilities, in the case of off-site candidates
We offer the possibility to use the internal canteen service.
Possible recognition of participation allowance.How to Apply
All interested parties are asked to fill out the online form by clicking on "Apply Online" in the "Internship opportunities" section, attaching the following documents in .pdf format: curriculum vitae; motivational letter.
For any details about the internship activity, please contact: Francesca Bovolo (bovolo@fbk.eu) or Khatereh Meshkini (mkhatereh@fbk.eu).