Postdoc, on the subject of Machine Learning within the H2020 project 'Articial Intelligence for data analysis' (AIDA)
Centrum Wiskunde & Informatica (CWI) has a vacancy in the Multiscale Dynamics research group for a talented Postdoc, on the subject of Machine Learning …
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- 40 uur
- € 3477 - € 4945 per maand
Centrum Wiskunde & Informatica (CWI) has a vacancy in the Multiscale Dynamics research group for a talented Postdoc, on the subject of Machine Learning within the H2020 project 'Articial Intelligence for data analysis' (AIDA).
The AIDA H2020 Consortium funded by the European Commission is looking to cover several positions at the doctoral and postdoctoral level. The AIDA consortium is composed by KU Leuven in Belgium; CWI in The Netherlands; University of Calabria, University of Florence and CINECA in Italy; CNRS in France; IRIDA in Greece and by Space Consulting in USA.
The activities of AIDA (www.aida-space.eu) will focus on the development of modelling and data analysis from multiple space missions of processes in the solar corona (flares, CMEs), in the solar wind and in the Earth’s magnetosphere. The work will be primarily in the development of new methods for data analysis and simulation, focusing especially on machine learning and artificial intelligence but covering also more traditional data analysis methods. Knowledge of the python programming language is critical in most tasks. The work will be based on the extensive previous expertise in the field of high performance computing, space science and its application to space weather within the consortium
The position at CWI involves research in machine learning techniques and Bayesian inference. The aim of the project is to develop an open-source Python package to apply machine learning techniques to the vast amount of available date collected from space mission. The AIDA project will involve state-of-the-art numerical simulations, Bayesian parameters estimation, uncertainty quantification and machine learning techniques.
The successful candidate will work to:
- develop a software package for classification and unsupervised learning which will be integrated into AIDA,
- build a catalogue of relevant space physics events,
- apply dimensionality reduction on the data,
- apply clustering algorithms to the data,
- use information theory to study causality between events.
At CWI, the postdoc will interact with the Machine Learning for Space Weather team (www.mlspaceweather.org), which is pioneering several Artificial Intelligence approaches to tackle the Space Weather problem.
Candidates are required to have a completed PhD in machine learning, data science, numerical methods or a related discipline. Knowledge of computational physics and space plasma is desired, but not essential. Needed qualifications for candidates include proven research talent and good academic writing and presentation skills. Candidates are expected to have an excellent command of English.
The terms of employment are in accordance with the Dutch Collective Labour Agreement for Research Centres ("CAO-onderzoeksinstellingen"). The gross monthly salary for an employee on a full time basis, depending on relevant work experience, ranges from € 3,477 to € 4,945. The appointment will be for a period of two years, with a possible extension to a third year, upon annual review of performance.
Employees are also entitled to a holiday allowance of 8% of the gross annual salary and a year-end bonus of 8.33%. CWI offers attractive working conditions, including flexible scheduling.
Please visit our website for more information about our terms of employment: https://www.cwi.nl/jobs/terms-of-employment.
Applications will be accepted until the position is filled. Application screening will begin on 15 June 2018. Applications should include:
- A detailed CV including a summary of technical and scientific experiences and a synopsis of the PhD thesis. If applicable, the CV may contain detailed descriptions of previous research projects, a list of publications, and/or presentations at scientific meetings.
- A letter of motivation including research interests and reasons for applying for this position.
The applicant should arrange for up to three letters of recommendations to be sent from references who are acquainted with the applicants previous academic and/or research/professional activity.
The starting date is 1st September 2018.
For non-native English speakers, a TOEFL English language test might be required.
For more information about the vacancy, please contact Enrico Camporeale, firstname.lastname@example.org