Two PhD positions: Tailored behavioural interventions to stimulate energy efficiency in residential homes
3 dagen geleden - VU - Amsterdam
The Informatics Institute of the Faculty of Science is inviting applications for a fully funded PhD position (4 years) in the field of computer vision and in …
The Informatics Institute of the Faculty of Science is inviting applications for a fully funded PhD position (4 years) in the field of computer vision and in particular automatic 3D object segmentation and recognition of indoor scenes using deep learning. The PhD candidate will do research within the Computer Vision group of the Informatics Institute headed by Prof. Theo Gevers. The Computer Vision group conducts research in theories, representation models and computational methods which are essential for 2D-3D image understanding.
The candidate will be part of the Efficient Deep Learning (EDL)program conducted in close collaboration with industry. The results of this PhD project will be validated in 3DUniversum (partner of the project). The overall research requires a combination of computer vision and machine learning activities. The research conducted by the University of Amsterdam is mainly in the field of 3D computer vision to develop deep learning methods to automatically perform 3D object recognition of indoor scenes. The research will be performed in close collaboration with the EDL consortium. The EDL program combines the fields of machine learning and computing: both disciplines are already strong in the Netherlands and now connected by 7 Dutch academic institutes and more than 35 other (industrial) partners in- and outside the Netherlands.
The overall goal of the EDL program is to address the performance and efficiency of deep learning. The EDL program contains 7 use case driven EDL research projects: P1) DL as a service, P2) Reconstruction, matching and recognition, P3) Video analyses and surveillance, P4) High tech systems and materials, P5) Human and animal health, P6) Mobile robotics, and P7) DL platforms. Common goal for all 7 EDL projects is to significantly improve the applicability of DL among others by creating data efficient training and tremendously improving computational efficiency, both for training and inference. The combined effect of solving these challenges enables to build vital and innovative applications in many domains like automated driving, public space mapping, healthcare, and electron microscopy.
The PhD candidate will be supervised by Prof. Th. Gevers.
The PhD candidate:
The appointment will be full-time (38 hours a week) for a period of four years (initial employment is 18 months). Periodic evaluations will be held after 9 and 14 months, and upon positive evaluation, the appointment will be extended to a total of 48 months. The appointment must lead to a dissertation (PhD thesis). An educational plan that includes attendance of courses, summer and/or winter schools, and national and international meetings will be drafted for the PhD candidate. The PhD candidate is also expected to assist in teaching of undergraduate students.
The salary is in accordance with the university regulations for academic personnel. The salary will range from €2,266 (first year) up to a maximum of €2,897 (last year) before tax per month (scale P) based on a full-time appointment. There are also secondary benefits, such as 8% holiday allowance per year and the end of year allowance of 8.3%. The Collective Labour Agreement for Dutch Universities is applicable.
Among other things, we offer:
Since Amsterdam is a very international city where almost everybody speaks and understands English, candidates need not be afraid of the language barrier.
For further information about this vacancy:
You may only submit your application online using this link. We will accept applications until 1 August 2018. To process your application immediately, please quote the vacancy number: 18-400. The committee does not guarantee that late or incomplete applications will be considered.
In the research statement (see below) you should clearly describe your research vision in relation to the topics that we described, as well as a clear statement which would be your direction of research.
You should also include the following information in separate PDF files (not zipped), using surname, initials and a self-evident word as file names, e.g. , Smith J CV: