Applications are invited for one Research Fellowship for PhD or Master Degree for cE3c at the University of Lisbon in Portugal. Fellowship is open for Research project “Municipal Plan for Adaptation to Climate Change of Oeiras – PMAACO”, financed by Oeiras Municipality.
This position is initially open for 3 months and will begin in December 2017. The fellowship contract may be renewed until the end of the project (July 2019), in accordance with the provisions of the Regulation of Research Fellowships from the Foundation for Science and Technology, IP
cE3c is committed to a sustainable future. Tackling the challenges posed by global change requires a tighter integration of the knowledge from life and environmental sciences, and cE3c was built to meet this necessity.
- Applications Deadline: November 26, 2017
- Course Level: Fellowship is available to pursue PhD research or Master degree programme.
- Study Subject: Fellowship is awarded in the following scientific area: Climatology, Meteorology, Physics, and Geophysics. Other courses can be accepted if the candidate shows strong experience in processing data of climate models.
- Scholarship Award: The fellowship amounts to € 980 (Master Degree) or 1495 (PhD), according to table values of the fellowships directly by the FCT, IP. The fellowship holder shall have a personal accident insurance and, if not covered by any social protection scheme, shall ensure the right to social security through adherence to the voluntary social insurance scheme, pursuant to the Code of the Contributory Regimes of the Social Security System.
The fellowship will be paid monthly by bank transfer.
- Nationality: International students are eligible to apply for this fellowship programme.
- Number of Scholarships: One fellowship is available.
- Scholarship can be taken in Portugal
Eligibility for the Scholarship:
Eligible Countries: International students are eligible to apply for this fellowship programme.
Entrance Requirements: The candidate should have a PhD or Master Degree in the above-mentioned areas. Previous experience in processing data from climate models.
Factors preferred: Previous experience in programming (especially in R, Python, or MatLab) and in using statistical downscaling methods in order to adapt the outputs from global climate simulations to the regional-to-local scale needed for impacts assessments.
English Language Requirements: Applicants whose first language is not English are usually required to provide evidence of proficiency in English at the higher level required by the University.
How to Apply:
Applications may be sent via e-mail by attaching the following documents: Curriculum vitae, certificate and motivation letter (sum total cannot be larger than 2 MB). Please indicate the following subject Fellowship 5.