Dear Colleague, At Ghent University we are pleased to open a tenure track position dedicated to research in Big Data Science. This is part of a larger set of vacancies advertised on our website: http://www.ugent.be/en/work/vacancies/professorial-staff/3-assistant-profess... for the Dutch version, see: http://www.ugent.be/nl/vacatures/zap/drie-voltijdse-ambten-van-docent-tenure... We are looking for a promising candidate and hope we may call on you to help us spread the ad below. Please note that the closing date for applications is 31 January 2015. The university application form is available via the following link: https://www.ugent.be/nl/vacatures/zap/sollicitatieformulieren-zap/sollboftt.... For further information you can also contact: Lieven.Clement@ugent.be<mailto:Lieven.Clement@ugent.be> Peter.Dawyndt@ugent.be<mailto:Peter.Dawyndt@UGent.be> Els.Goetghebeur@ugent.be<mailto:Els.Goetghebeur@ugent.be> Stijn.Vansteelandt@ugent.be<mailto:Stijn.Vansteelandt@ugent.be> Many thanks for your help and our best wishes for 2015, Lieven Clement Job position at the Department of Applied Mathematics, Computer Science and Statistics (WE02). Contact: prof. W. Govaerts, department chair (tel. +32 (0) 9 264 48 93 or e-mail: willy.govaerts@ugent.be<mailto:willy.govaerts@ugent.be>). Ghent University, Belgium, invites applications for a full time tenure track position dedicated to research in Big Data Science. This field draws on computer science and statistics to solve through computational, numerical and statistical means methodological problems encountered when aiming to extract in real time reliable and relevant information from massive data sets characterized by the 5 V's: "Volume, Velocity, Variety, Value and Veracity". The position, funded by the Special Research Fund (BOF), is a tenure track position launched within the Faculty of Sciences. We seek an upcoming research leader with outstanding scientific record situated in the broad domain of Scientific Computing and/or Statistics and specific interests in information extraction from Big Data. The ideal candidate has experience analyzing large data sets and developing and making appropriate use of big data technology. He or she will engage in research to develop mathematical, computational and statistical methods to deal with increasingly large numbers of heterogeneous data and to enable reliable extraction and reporting of relevant and reproducible information in real time and in an ethical manner. This should be done with a focus on available or obtainable "big data" for important real-world applications. Our candidate is motivated to build a research group in the domain of Big Data science and will play a major role in the Big Data Science Technology platform linked to the high performance computing infrastructure at Ghent University. The successful candidate will be hosted within the Department of Applied Mathematics, Computer Science and Statistics and is expected to collaborate closely with colleagues from this and other Departments. Specific requirements: * candidates should hold a PhD with a doctoral thesis in quantitative sciences with a strong computing component, preferably in Computer Science, Engineering, Mathematics or Statistics, or a discipline that is declared admissible by the evaluation committee; or a degree recognized as equivalent; * a growing proficiency in Big Data science is expected; * candidates should show a keen interest in the development and application of advanced computational techniques for the design and analysis of large to massive data sets. Katrijn Vannerum PhD Project manager N2N (From Nucleotides to Networks) Multidisciplinary Research Partnership Bioinformatics and Systems Biology Ghent University http://www.nucleotides2networks.be/ twitter: @N2N_UGent Katrijn.Vannerum@UGent.be<mailto:Katrijn.Vannerum@UGent.be> Technologiepark 927 9052 Gent, Belgium +32 (0)9 331 36 85 [cid:image001.png@01D02A8D.9289BCC0]
