Call for PostDoc Position
in the area of Autonomous Robotics

Post-doc position for one-year period from 1st January 2018

Faculty of Mathematics and Physics, Charles University, Prague


Research Project

Department of Theoretical Computer Science and Mathematical Logic, Faculty of Mathematics and Physics, Charles University solicits applications for postdoctoral research positions. The objective of the work consists in developing software technology for autonomous robots, in particular UGV/UAV (i.e., mobile robots including autonomous cars and flying drones). Relevant topics cover sensor fusion, pattern recognition, localization and mapping, path finding, goal reasoning, and activity planning, among others. The research shall be focused on artificial intelligence techniques to control the activities of the robots and to increase their autonomy. Standard hardware platforms are expected to be used.

The applicant should be a highly motivated scholar with PhD in computer science, preferably artificial intelligence or robotics. She/he will be collaborating on problems solved by members of our AI group (Roman Barták, Iveta Mrázová, David Obdržálek, Martin Pilát, Marta Vomlelová). Experience with real life projects is of advantage.

Contact person: Prof. Roman Barták, Charles University, Faculty of Mathematics and Physics, Department of Theoretical Computer Science and Mathematical Logic
e-mail: bartak@ktiml.mff.cuni.cz


Applicants should submit:

Deadline date: July 21, 2017




Call for PostDoc Position
in the area of Neural Machine Translation

Post-doc position for one-year period from 1st January 2018

Faculty of Mathematics and Physics, Charles University, Prague


Research Project

The Institute of Formal and Applied Linguistics (UFAL) is seeking a candidate for a one-year post-doc position in the area of neural machine translation (NMT). The exact topic will be determined based on the candidate's interests, e.g. multi-lingual or multi-modal translation, employing linguistic resources in neural MT, MT evaluation or quality estimation, interactive MT and incremental learning.

A PhD degree in computational linguistic, artificial intelligence or a related field is required. Experience with neural MT, Linux and cluster environment (SGE), and/or general deep learning and GPU computation is a bonus.

Contact person: RNDr. Ondřej Bojar, Ph.D., Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics
e-mail: Ondrej.Bojar@mff.cuni.cz


Applicants should submit:

Deadline date: July 21, 2017




Call for PostDoc Position
in the area of Predictive rendering for appearance fabrication

Post-doc position for one-year period from 1st January 2018

Faculty of Mathematics and Physics, Charles University, Prague


Research Project

The proposed postdoc position is a part of a research program with the long term goal of establishing and eventually standardizing an end-to-end material appearance (i.e. color, glossiness, translucency, etc.) reproduction pipeline for 3D physical fabrication processes such as 3D printing. This involves, among other, predictive simulation of the fabrication process, compensation of unwanted effects of fabrication on the resulting appearance, or modeling the perception of material appearance by the Human Visual System. Furthermore, this requires development of new and accurate standardized appearance descriptors as well as appearance reproduction profiles for various fabrication devices, media and materials. While this long-term vision necessitates a large scale research program that goes well beyond one postdoc position, we do have a specific plan tailored for the position in question, in which we directly capitalize on our accumulated expertise and research infrastructure in the area of predictive rendering. This shorter term goal is to build a predictive rendering system for various 3D printing technologies that would be capable of providing a faithful rendition of the final appearance of a planned 3D print before the actual physical fabrication. This will involve developing new fast algorithms for simulating light scattering in the 3D prints a well as measuring and modeling the scattering parameters of the printer materials. The resulting system will enable designers to preview the appearance of the planned 3D prints before the actual fabrication, saving printing material and hours of 3D printing time. Even more importantly, such a system will be the core and any follow-up research on the topic. For example, it will enable developing optimization algorithms with the goal of reaching a specific appearance, where the predictive system will serve as the predictor of the 3D prints’ appearance in each step of the optimization process.

Expert group: The computer graphics group co-lead by prof. Jaroslav Křivánek and prof. Alexander Wilkie is internationally renowned for its research on realistic image synthesis. This covers in particular physically-based, Monte Carlo light transport simulation, atmospheric rendering, and material appearance modeling (including color science). The technologies co-developed by the members of the group have been published in the most prestigious venues of the field (ACM SIGGRAPH) and are used, among others, by the major visual effect production houses such as Weta Digital, PIXAR Animation Studios, and Sony Pictures Imageworks. One of the most significant recent contributions is the Vertex Connection and Merging (VCM) algorithm (Georgiev, Křivánek et al., ACM SIGGRAPH Asia 2012) which is currently considered the most robust solution for rendering scenes with complex specular materials. The acronym VCM has become widely known both in the rendering research and the industry. A follow-up work on light transport in participating media (Křivánek et al., ACM SIGGRAPH 2014) has received extended press coverage and has been integrated into PIXAR’s RenderMan product. The atmospheric model developed by Hošek and Wilkie (ACM SIGGRAPH 2011) has immediately become a de-facto industry standard for modeling of illumination from clear skies. Prof. Křivánek is also involved with the commercial product Corona Renderer, which – within 16 months from its commercial release – has become the second most used light transport software for architectural visualization, and is considered a disruptive product in the field due to its novel focus on usability and accessibility.

Contact person: Ing. Jaroslav Křivánek, Ph.D., Charles University, Faculty of Mathematics and Physics, Department of Software and Computer Science Education
e-mail: Jaroslav.Krivanek@mff.cuni.cz


Applicants should submit:

Deadline date: July 21, 2017

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