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Position: Analyst - Project LEXIS - HPC & Cloud data services (observations)
Institution: Royal Meteorological Institute
Department: Forecasts Department
Location: Uccle, Brussels, Belgium
Duties: The Analyst will work within the Scalability Team to support the evolution of existing services, but also to explore and set-up the provision of meteorological data through new cloud services. The successful candidate will investigate data handling strategies for the provisioning of unconventional ‘in-situ’ weather observations (sourced from mobile devices) in LEXIS’s Weather and Climate Data API, and contribute to the development of the software infrastructure and system deployment for the successful acquisition and pre-processing of this new type of observations
Requirements: University degree, or equivalent, in a discipline related to computer science, physics, mathematics or engineering. Good demonstrated experience in developing and optimising applications in distributed computing environments (e.g. HPC and/or Cloud). Experience in deploying software in HPC and/or Cloud environments. Good experience developing with C/C++ and/or Python. Very good knowledge of object-oriented programming developing with C/C++/Python. Good knowledge of UNIX, experience developing software for UNIX systems (and/or Linux) and the use of system calls. Good understanding of computer science concepts (efficient algorithms and data structures). Ability to work effectively in English and interviews will be conducted in English. Excellent problem-solving skills with a proactive approach. Interest in identifying, investigating and solving technical problems. Interest in exploring the technical viability and relevance of new technologies for ECMWF. Dedication and enthusiasm to work in a small team. Excellent interpersonal and communication skills, listening to and respecting the views of others. Ability to work under pressure
   
Text: ECMWF, Shinfield Park, Shinfield Road, Reading, RG2 9AX, UK www.ecmwf.int Analyst - P roject LEXI S - HPC & Cloud data services (observations) 1. Position information Vacancy No.: VN 18 - 42 Department: Forecasts Grade: A2 Section : Development Job Ref. No.: STF - PL/18 - 42 Reports to: Team leader Scalability Team Publication Date: 14 December 2018 Closing Date: 8 February 2019 2. About ECMWF ECMWF is both a research institute and a 24/7 operational service, producing and disseminating numerical weather predictio ns to its Member States. ECMWF carries out scientific and technical research directed to the improvement of its forecasts, collects and processes large amounts of observations, and manages a long - o bservations provide the information for up - to - date global analyses and climate reanalyses of the atmo sphere, ocean and land surface. www.ecmwf.int/ . 3. Summary of the role ECMWF will be part of the new Horizon 2020 project LEXIS, which will explore the integration of high - performance computing ( HPC ) with user - driven workflows on Cloud systems for numerical weather prediction (NWP). ECMWF’s role in LEXIS focuses on the development and provision ing of data services for cloud - based data analytics of weather - related applications. This will comprise serving of ECMWF’s datasets (such as the operational NWP forecasts) and access to other LEXIS partners datasets (including ‘in - situ’ weather observation s from mobile phone providers). This new position sits in the Development Section of the Forecast Department and it will further strengthen the activities of post - processing and high - throughput data deliver y , with a special focus on the interaction and con vergence of HPC with Cloud systems . The Analyst wi ll work within the Scalability T eam to support the evolution of existing services - up the provision of data through new cloud services. The successful candidate will investigate data handling strategies for the provisioning of unconventional ‘in - situ’ weather observations (sourced from mobile devices) in LEXIS’s Weather and Climate Data API. He or she will also contribute to the development o f the software infrastructure and EUROPEAN CENTRE FOR MEDIUM - RANGE WEA THER FORECASTS - VAC ANCY VN 18 - 42 system deployment for the successful acquisition and pre - processing of this new type of observations. 4. Main duties and key responsibilities • Interact ing with the internal and external project team and support ing the delivera bles of the LEXIS project , as well as with other stakeholders at ECMWF • Contributing to the development and software maintenance of distributed computing and data services at ECMWF, in particular those deployed in support of Cloud - based user - driven workflows • E nsuring the quality of the above service s and also planning for their evolution with the Sc a lability T eam and providing third - line support to their users • Contributing to ECMWF tasks and deliverables within the Scalability Programme and related p rojects 5. Personal attributes • Excellent problem - investigating and solving technical problems • Interest in exploring the technical viability and relevance of new technologies f or ECMWF • Dedication and enthusiasm to work in a small team • Excellent interpersonal and communication skills, listening to and respecting the views of others • Ability to work under pressure 6. Qualifications and experience required Education A university degre e, or equivalent, in a discipline related to computer science, physics, mathematics or engineering is required. A PhD is desirable but not essential. Experience G ood demonstrated experience in developing and optimising applications in distributed computing environments (e.g. HPC and/or Cloud) . Experience in deploying software in HPC and/or Cloud environments . Good experience developing with C/C++ and /or Python . would be an advantage . Experience with developing and maintaining large scientific codes would be an advantage . Knowledge and skills (including l anguage ) Very good knowledge of object - oriented programming developing with C/C /Python. Good knowledge of UNIX, experience develo ping software for UNIX systems (and/or Linux) and the use of system calls is essential. Good understanding of computer science concepts (efficient algorithms and data structures) is required. EUROPEAN CENTRE FOR MEDIUM - RANGE WEA THER FORECASTS - VAC ANCY VN 18 - 42 C andidates must be able to work effectively in English and int erviews will be conducted in English . A good knowledge of one of the Centre’s other working languages (French or German) would be an advantage . 7. Other information Grade remuneration The successful candidate will be recruited at the A2 grade , according to the scales of the Co - ordinated Organisations and the a nnual basic salary will be ? 59,22 8.40 assigned to the employment category STF - PL as defined in the Staff Regulations. able on the ECMWF website at www.ecmwf.int/en/about/jobs , including the Centre’s Staff Regulations regarding the terms and conditions of employment. Starting date: As soon as possible . Length of contract : Until 30 June 2021 . Location : The position will be based in the Reading area, in Berkshire, United Kingdom. 8. How to apply www.ecmwf.int/en/about/jobs . To contact the ECMWF Recruitment Team, please email jobs@ecmwf.int. At ECMWF , we consider an inclusive environment as key for our success. We are dedicated to ensur ing a workplace that embraces diversity and provides equal opportunities for all, without distinction as to race, gender, age, marital status, social status, disability, sexual orie ntation, religion, committed to having staff that reflect the diversity of the countries that are part of our community, in an environment that nurtures equa lity and inclusion. Staff are usually recruited from among nationals of the following Member States and Co - operating States: Austria, Belgium, Bulgaria, Croatia, Czech Republic, Denmark, Estonia, Finland, former Yugoslav Republic of Macedonia, France, Hun gary, Germany, Gree ce, Iceland, Ireland, Israel, Italy, Latvia, Lithuania, Luxembourg, Montenegro, Morocco, th Norway, Portugal , Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey and the United Kingdom. Staff from other countries may be considered in exceptional cases.
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