The current vacancy is with the Maritime Affairs Unit and in particular with the ConTraffic project. The mission of the Unit is to contribute to a safe, secure, resource efficient and competitive Europe by the development of scientific and technological methodologies for EU policies related to the sea.
JRC’s ConTraffic technology is already in use in pilot projects by hundreds of customs officials in all EU and has also led to new EU legislation. To better support this legislation, ConTraffic requires R&D in data analysis, data mining and interactive visualization for very large sets of Container Status Messages (CSM). The longer-term goal of this team effort is to design, in collaboration with customs and security authorities, advanced tools to help profile and target high-risk cargo containers using CSM data.
The auxiliary contract agent will contribute to the further development of the ConTraffic interactive data analytics prototype (Java/JavaScript) by performing research and piloting new functionalities for data mining / analytics functions as well as new interactive data visualization techniques.
In addition to data analysis methods and software prototypes, the auxiliary contract agent will be expected to co-author technical reports, technical documentation and scientific publications. He or she may also be called to contribute to collaborative research projects addressing issues related to securing the containerized supply chain.
Qualifications/Requirements
The successful candidate must have a PhD degree, or a minimum of 5 years of professional experience after having completed university studies of at least 3 years (Bachelor degree), in the field of computer science / geo-informatics / statistics or equivalent. Strong data analytics skills will be an advantage.
Programming skills in Java / JavaScript, experience with web applications, SQL databases and interactive visualization techniques will be highly appreciated.
A good level of written and spoken English is essential.
Deadline: 01/09/2015 23:59 Brussels time