The BEAT European Project built a web-based online platform ( https://www.beat-eu.org/platform/ ) for the development and benchmarking of scientific algorithms for applied pattern recognition and machine learning tasks.
Users define workflows and algorithms exclusively using a web-based system and schedule code to run on the BEAT computing farm with simple mouse clicks. The platform then presents results in the form of tables and figures that are programmed by
the user. Results can be attached to scientific publications and certified by the platform. The BEAT platform is able to produce high-quality figures and graphics that could be included in scientific publications.
In this internship the master student will define, prototype and develop a web-based publication system that allows users of the BEAT platform to create high-quality scientific reports including tables and figures produced at the platform itself.
By clicking on those items, the user is re-directed to relevant information to reproduce claimed results.
This first objective is to provide a sort of executable scientific report system that could potentially replace currently existing publication vehicles such as pre-print servers, peer-reviewed conferences and journals, but which integrates access to scientific resources for the reproducibility of claimed results.
Second objective if time allows
The BEAT platform includes also the possibility for users to share code, toolchains and experimental results among pre-defined groups of users.
To transform the platform into a social scientific development system, it would be desirable to allow users to automatically discover new content (i.e. scientific resources) which are mature or provide satisfactory results in a variety of conditions. While some of this work can be done automatically, human annotation can be used to boost quality markings of algorithms and toolchains in a similar way which is done by social networks such as Facebook or Google+.
To motivate resource annotation by users, positive behavior shall be reinforced by user access to larger computing power.
The second objective of this internship is, if time allows, to gamify the BEAT platform so that high-quality content is brought forward and good work rewarded by giving priority to processing power on the computing farm.
Idiap is an independent, not-for-profit, research institute recognized and funded by the Swiss Federal Government, the State of Valais, and the City of Martigny.
Idiap offers competitive salaries and conditions at all levels in a young, high-quality, dynamic, and multicultural environment. Idiap is an equal opportunity employer and is actively involved in the "Advancement of Women in Science" European initiative. The Institute seeks to maintain a principle of open competition (on the basis of merit) to appoint the best candidate, provides equal opportunity for all candidates, and equally encourage both genders to apply.
Idiap is located in the town of Martigny in Valais, a scenic region in the south of Switzerland, surrounded by the highest mountains of Europe, and offering exceptional quality of life, exciting recreational activities, including hiking, climbing and skiing, as well as varied cultural activities. It is within close proximity to Lausanne and Geneva. Although Idiap is located in the French part of Switzerland, English is the official working language. Free French lessons are also provided on a complimentary basis.
For frequently asked questions (FAQs) about living in Switzerland, please go to http://www.idiap.ch/education-and-jobs/faq