isardSAT

isardSAT was founded in 2006 in Barcelona with the mission to improve the knowledge of our planet Earth through Remote Sensing. isardSAT develops engineering and scientific projects with the objective of becoming the leading company in active and passive microwave remote sensing and preferred partner in the Earth Observation research field. isardSAT headquarters are located in Barcelona, Catalonia. We have two subsidiaries: isardSAT UK in Guildford and isardSAT Polska in Gdynia.

isardSAT C/ Marie Curie, 8-14, A213 08042 Barcelona, Catalonia
27 Jan, 2019
Full time
Job description R&D Remote Sensing Engineer (Signal Processing) We are looking for a Graduate in Telecommunications engineering, Physics, Maths, or other relevant discipline for our R+D team. The primary role of the selected candidate will be to participate, support, develop, and eventually run, projects in the Earth Observation field, which include development and implementation of algorithms. The scientific algorithms are typically under Linux operating systems, and the most frequently development languages are  MatLab, C/C++ and Python. We offer a great work environment and the chance to work with an international multidisciplinary team. Specific training from senior experts will be also provided. This position requires travelling to European countries for meetings. It is a great opportunity to foster a career in remote sensing in projects of scientific excellence and worldwide reputation. Applicants with a PhD and interested in this research are also invited to apply; they will be considered for a 3-yr post-doc position. ​ Required knowledge, skills and abilities To be considered for this position, you must have: Telecommunications engineering, Physics, Astrophysics, Applied Mathematics, Earth and Planetary Sciences, or a related area degree. Good grades in Maths and Physics. Very good knowledge of C/C++, Python and/or MatLab. Experience with altimetry processing is considered an asset. Have an aptitude for problem solving, self-motivated: be able to work as an individual and as part of a team, able to communicate effectively with a range of people, to work to tight deadlines in a logical manner and with attention to detail. Permission to work in Catalonia. Interest in Earth Science and Space Industry. Proficient in spoken and written English.
isardSAT C/ Marie Curie, 8-14, A213 08042 Barcelona, Catalonia
27 Jan, 2019
Full time
Job description We are looking for a Graduate in Computer Science, Physics, Maths or other relevant discipline for our Applications and Services team. The primary role of the selected candidate will be to contribute to the development of environmental and climate data products from Earth Observation and other sources, which include algorithm development and implementation. The candidate will be involved in projects currently starting and related to the fields of climate change and air pollution in lobelia, isardSAT's applied technologies unit -  www.lobelia.earth . ​ Duties and responsibilities: Research, design and/or implementation of algorithms with focus on spatio-temporal data analysis tasks involving for example climate datasets (i.e. downscaling, bias adjustment, definition of indicators, etc.) Strategy development for the field of machine learning and data analysis with focus on isardSAT’s applications Participation in the development of related proposals. Promotion of collaborative research with interdisciplinary team. ​ We offer a great work environment and the chance to work with an international multidisciplinary and highly motivated team. Specific training from senior experts will be also provided if needed. This position requires occasional travelling to European countries for meetings. It is a great opportunity to foster a career in remote sensing in projects of scientific excellence and worldwide reputation. ​ Required knowledge, skills and abilities To be considered for this position, you should have: Related science degree (Computer Science, Statistics, Physics, Maths, Meteorology) Research experience on large datasets in industry or academia Familiarity with machine learning libraries and toolkits A focus on problem-solving, with an eye on performance aspects Ability to work as an individual and as part of a team Good oral and communication skills Ability to effectively work with tight deadlines in a logical manner A proactive nature and great attention to detail An interest in Earth Science Proficient in English A (down-to-earth) passion for technology and techniques, and love for getting the results out to the real world ​ Any of the following would be beneficial to your application: Climate expertise