|From||Veronica Nieves <firstname.lastname@example.org>|
|Date||Sun, 5 Jan 2020 22:57:33 +0100|
|We are seeking for highly motivated PhD students, starting in fall semester in the year 2020. The new students will have an option to pursue a Ph.D. degree in Remote Sensing at the University of Valencia, and will have the opportunity to participate in the GenT-sponsored project on improving regional-scale projections of climate variability and change through data-informed decision making. The position has a special focus on understanding the ocean's role in the Earth's climate system under global climate change. The new students will be expected to conduct original research, present research findings in national or international conferences, and publish in peer-reviewed scientific journals.|
Where you will work:
The University of Valencia is regarded as one of the leading academic institutions in Spain and one the best 10 universities in the world in the field of remote sensing. The Image Processing Lab (IPL) is a multidisciplinary institute that gathers more than 60 faculty and researchers working in Earth observation and remote sensing data processing. The lab is recognized for its spatial and machine learning methods of satellite imagery analysis, and has active collaborations with ESA, NASA and EUMETSAT. Please visit our group website for more information (https://ipl.uv.es).
Application Attachments: Please include your curriculum vitae and up to three additional documents (1-page motivation letter, academic transcripts, three reference letters). Send your application package online by February 15th, 2020.
Deadline: Review of applications will begin on February 15th, 2020 and continue until the positions are filled.
Salary: Based on UV scales. Employment contract covering the doctoral period (3 years), and includes social security benefits, medical care. Financial support for conferences and collaborations.
Location: Valencia, Spain’s third-largest city, is located in the Mediterranean Spanish baseline and ranked among the most affordable cities in the world for students.
Preferred Education: Masters.
1. A M.S. degree in a science or engineering discipline, such as physical oceanography, applied ocean science and engineering, climate sciences, or related applied field. A deserving candidate with a B.S. degree will also be considered for a combined M.S. and Ph.D. program.
2. A strong analytical and quantitative skills as demonstrated within academic transcripts and/or publication records.
3. Programing and statistical skills, and experience with ocean data analysis are required. Broad knowledge in machine learning and numerical modeling are an asset.
4. Proficiency in English (required) and Spanish (ideally).
Applicant Notes: While the position description details both minimum requirements as well as desired skills and experience, we want to remind applicants that you do not need to have all the desired skills and experience to be considered for this role. If you have the passion for the work along with experience in ocean sciences and data analysis, you are encouraged to apply.
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