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The ESR 01 PhD position within PRIME is about developing efficient light transport simulation algorithms for volumetric materials used in 3D printing, and about the inclusion of fluorescence in modern rendering technology. The optical effect of fluorescence is currently neglected in most rendering software, but it plays a significant role in the appearance of certain materials. The research undertaken by this ESR will be both fundamental research about inclusion of fluorescence in modern rendering technology, as well as work with appearance measurement, and the trialling of such rendering capabilities in actual industrial workflows.
Pay is standardised by the EU, and is ample by local standards. Employment duration within PRIME is 36 months, and the start date can be anytime between October 1st, 2020, and September 30th, 2021. However, we prefer candidates to be available as soon as is practical: ideally, we would like to hire until March 2021 at the very latest.
The Computer Graphics Group (CGG) at the Faculty of Mathematics and Physics of Charles University in Prague, Czech Republic is led by Alexander Wilkie and Elena Šikudová, and currently hosts seven PhD students and one PostDoc. The team is very international (British, Slovak, Czech, German, Iranian) and uses English as its working language. Topic-wise, the group’s interests are spread across realistic image synthesis, appearance fabrication, sky models, and computer vision. We are proud of our closely knit team environment, and our far-reaching network of collaborators in academia and industry. We are also privileged to be housed in a magnificent historical building right underneath Castle Hill in the historical centre of Prague.
The ESR 05 PhD position within PRIME is about synthesising training data for machine learning. Computer vision, for instance when used for autonomous driving, relies heavily on machine learning. Large sets of training data are required to effectively “teach” the computer how to handle complex real-world scenarios. Some critical real-world events that a machine learning method needs to handle well are either too rare (e.g., specific weather conditions) or too dangerous (e.g., a toddler falling in front of a car) to gather in the real world. The research undertaken by this ESR will identify what level of physical accuracy is required to successfully train machine learning approaches from synthetic data. Further, advanced algorithms and high-performance implementations will be investigated, to achieve sufficiently large data sets.
Pay is standardised by the EU, and allows for comfortable living in Saarbrücken. Employment duration within PRIME is 36 months, and the start date can be anytime between October 1st, 2020, and September 30th, 2021. However, we prefer candidates to be available as soon as is practical: ideally, we would like to hire until March 2021 at the very latest.
Our research group consists of the Agents and Simulated Reality research department at DFKI, and the Computer Graphics group at Saarland University, both led by Philipp Slusallek. We are doing research in computer graphics, high performance rendering, and their applications in artificial intelligence. Both our research group and our university are highly international.
The ESR 09 PhD position within PRIME is about predictive rendering of powder materials (or, more generally, particulate materials). The task of ESR 09 will be to learn and model the distribution of particles in surfaces of particulate materials and estimate the reflectance properties of such surfaces based on light scattering by particles. This is an interesting research challenge because particles are currently considered independent scatterers in a volume, but in this project we will explore the surface reflectance properties of powder materials made of tightly packed particles. Our objective is appearance models that provide predictive rendering of particulate materials with relevance in 3D printing or other production. Parameters of the appearance models should be linked to relevant print/production parameters, so that the models are useful for rendering synthetic datasets for training neural networks to perform quality assurance tasks.
Pay is standardised by the EU, and allows for comfortable living as a student by local standards. Employment duration within PRIME is 36 months, and the start date can be anytime between October 1st, 2020, and September 30th, 2021. However, we prefer candidates to be available as soon as is practical: ideally, we would like to hire until May 2021 at the very latest.
The Department of Applied Mathematics and Computer Science at Technical University of Denmark hosts 11 research sections. In the Section for Image Analysis and Computer Graphics, we explore the interplay of vision, graphics, and geometry. The section roughly consists of 10 senior members of the department faculty, 25 PhD students, and 5 postdocs. The group of people is international and the work language is English. The section and the university offer many lab facilities for imaging, additive manufacturing, high-performance computing, and optical experiments. The department is an internationally unique academic environment spanning mathematics, statistics, and computer science and strives to achieve research excellence in these disciplines of formal science.
The main supervisor of this PhD project will be associate professor Jeppe Revall Frisvad who has been working with rendering and material appearance modelling for more than 10 years.
The ESR 10 PhD position within PRIME is about the global formulation of the appearance of an object in terms of a macroscopic scattering function (the BSSRDF), and the role that such functions can play in the specification of material appearance. There is currently no standardized way of specifying reflectance properties that include subsurface scattering. The BSSRDF is a general reflectance function including both in-surface and subsurface scattering of light. It is thus a good candidate for specifying product appearance, but it is also a function of high dimensionality, which makes it hard to find practical representations for the BSSRDF. Existing BSSRDF models are typically either impractical or limited in predictive quality. In this project, the ESR will explore the predictive quality of existing BSSRDF models and develop new BSSRDF models for practical, predictive appearance specification. This research includes development of practical techniques for rendering with the BSSRDF, and the models should be informed by the microgeometry of the materials that they can specify the appearance of.
Pay is standardised by the EU, and allows for comfortable living as a student by local standards. Employment duration within PRIME is 36 months, and the start date can be anytime between October 1st, 2020, and September 30th, 2021. However, we prefer candidates to be available as soon as is practical: ideally, we would like to hire until May 2021 at the very latest.
The Department of Applied Mathematics and Computer Science at Technical University of Denmark hosts 11 research sections. In the Section for Image Analysis and Computer Graphics, we explore the interplay of vision, graphics, and geometry. The section roughly consists of 10 senior members of the department faculty, 25 PhD students, and 5 postdocs. The group of people is international and the work language is English. The section and the university offer many lab facilities for imaging, additive manufacturing, high-performance computing, and optical experiments. The department is an internationally unique academic environment spanning mathematics, statistics, and computer science and strives to achieve research excellence in these disciplines of formal science.
The main supervisor of this PhD project will be associate professor Jeppe Revall Frisvad who has been working with rendering and material appearance modelling for more than 10 years.
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