PRIME - Open Positions

How to apply

Required materials

Qualified applicants are invited to submit the following information to the central project-wide e-mail address hiring at prime-itn.eu:
  • A single Page CV
  • A scan of one’s Master’s diploma, along with a transcript of records for the master studies
  • A motivation letter why one wants to join PRIME.
  • Letters of recommendation from two previous employers and/or teachers at the university the applicant graduated from (ideally, this includes the supervisor of the master thesis).
  • A list of one to three ESR positions within the network for which one applies, along with a justification why one thinks one fits the research topic outlined for these positions. The justifications for these choices are crucial: we don’t want to hear where an applicant wants to go within the network, in terms of geographic location. Instead, we want to hear why they want to join a particular research project within the ITN.

Please collate all this information into a single PDF file, and provide it to us either as mail attachment at the above address, or via a file sharing service such as Google Drive.

Organisational notes on the hiring process:

  • The hiring process consists of several steps:
    1. Screening for formal eligibility, by the ITN coordinator. This step only determines if the ITN hiring criteria mandated by the EU (master's degree, appropriate career stage, no recent residency in the hiring country) are met. Candidates which are rejected for such formal reasons are directly informed by the ITN coordinator.
    2. Distribution of applications to appropriate hiring institutions within the ITN, for them to screen candidates according to their own criteria listed below in the individual job adverts.
    3. If any of these hiring institutions deem the applicant to be of interest, they will directly contact them for an interview.
    4. If none of them do, the coordinator will inform the candidate of rejection.
  • Note that in stage three, applicants might be contacted by multiple hiring institutions. We coordinate our hiring internally, and if an applicant looks potentially promising for multiple ESR positions, they might get interviewed for two (or more) of them. After the interviews, the institutions then decide amongst themselves who will actually make the applicant an offer.
  • Note that as stated above, unless an applicant explicitly requests that their information be withheld from specific hiring institutions within the ITN, their information will be shared with the entire network. Requesting one’s information being withheld from any particular hiring institution does not negatively affect eligibility for the remaining positions: we just require that any such wishes be clearly stated in the initial application.
  • As a consequence of this sharing of applications within the network, applicants might ultimately get an interview offer for an ESR position they did not actually select on their personal preference list.
  • Typically, applicants can expect a response on their application within 3-4 weeks.

ESR01 - Predictive Rendering of Fluorescent Materials

Charles University, Prague, Czech Republic

Topic Description

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.

Employment Details

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.

About the research group

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.

Requirements

Formal Requirements
  • Master’s degree in Computer Science, Applied Mathematics, Physics or Engineering.
  • No Ph.D. degree1.
  • Less than 4 years of professional employment after obtaining your master’s degree 1
  • Less than 12 months of residency in the Czech Republic in the last 3 years 1
Technical Proficiency
  • Advanced knowledge in the field of computer graphics, especially (volumetric) light transport simulation and material modelling.
  • Solid foundation in optics, linear algebra, Monte Carlo integration, colour science.
  • Experience with rendering software, preferably path tracers like Corona, VRay, pbrt or Mitsuba.
  • Solid working proficiency in writing, debugging and maintaining C, C++ and/or Objective-C code.
Soft Skills Requirements
  • Fluent spoken and written English. Minimum proficiency level is B2, C1 is definitely preferred.
    An ability to speak Czech is not required during your entire stay at our university: the working language of our group, and the entire Ph.D. study plan, is English.
  • Self-reliant working style
  • Curious and ambitious personality.
  • Prior research and publication experience is considered a definite plus, but is not required.
Back to topic list           How to apply

ESR02 - Predictive Rendering of Wooden Materials for Reliable Prototyping in the Woodworking Industry

Charles University, Prague, Czech Republic

Topic Description

The ESR 02 PhD position within PRIME is all about representing wooden materials for virtual objects. The appearance of wood is a complex product of sub-surface scattering and oriented fibers. For reliable, accurate renderings a more sophisticated solution is necessary than approximating textures. The candidate should develop a new model for wood appearance that allows for accurate predictions in the context of wood-based fabrication together with an accompanying capture technique to measure parameters off real samples.

Employment Details

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.

About the research group

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.

Requirements

Formal Requirements
  • Master’s degree in Computer Science, Applied Mathematics, Physics or Engineering.
  • No Ph.D. degree1.
  • Less than 4 years of professional employment after obtaining your master’s degree 1
  • Less than 12 months of residency in the Czech Republic in the last 3 years 1
Technical Proficiency
  • Advanced knowledge in the field of computer graphics, especially (volumetric) light transport simulation and material modelling.
  • Solid foundation in optics, linear algebra, Monte Carlo integration, colour science.
  • Experience with rendering software, preferably path tracers like Corona, VRay, pbrt or Mitsuba.
  • Solid working proficiency in writing, debugging and maintaining C, C++ and/or Objective-C code.
Soft Skills Requirements
  • Fluent spoken and written English. Minimum proficiency level is B2, C1 is definitely preferred.
    An ability to speak Czech is not required during your entire stay at our university: the working language of our group, and the entire Ph.D. study plan, is English.
  • Self-reliant working style
  • Curious and ambitious personality.
  • Prior research and publication experience is considered a definite plus, but is not required.
Back to topic list           How to apply

ESR03 - Advanced Light Transport Simulation for Virtual Reality

Luxion ApS, Aarhus, Denmark

Topic Description

The ESR 03 PhD position within PRIME is about developing advanced light transport simulation specifically targeted at Virtual Reality. Light transport algorithms have become increasingly sophisticated and able to capture complex lighting phenomena. Furthermore, recent developments in graphics card technology (GPUs) have made it feasible to simulate light transport at interactive rates. However, this is not yet feasible in Virtual Reality headsets where the frame rate is high and two images (stereo) are rendered simultaneously. Basic algorithms such as path tracing do not scale well to VR headsets as the algorithm fails to exploit coherence and the noise in path tracing makes the VR experience suboptimal. The goal of this task is to develop novel light transport algorithms that can exploit the coherence in VR and also eliminate the noise, so that interactive stereo rendering becomes useful.

Employment Details

Pay is standardised by the EU, and allows for comfortable living as a student by local standards. Living allowance is approximately 4400 EUR/month with Family allowance and Mobility allowance to cover cost of moving. Taxes apply, which would normally be in the range 37-40%. 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.

About the hiring institution

Luxion is a research driven company. At its core Luxion brings innovations in computer graphics and related fields to users in industrial design, marketing and engineering through a fast and easy to use software application. We are a leading developer of advanced 3D rendering, animation and lighting technology with expert knowledge in areas related to daylighting (atmospheric scattering), light scattering by materials (BRDF and BSSRDF models), light transport algorithms such as photon mapping, and real-time rendering technology. KeyShot is the first real-time ray tracing application that uses a physically correct render engine based on scientific research in the areas of scientifically accurate material representation and global illumination. Luxion ApS office is located in Aarhus, Denmark. The candidate will benefit from Luxion’s expertise with VR including having access to state of the art VR equipment. In addition, Luxion under the guidance of Dr. Mosegaard has developed a VR application based on classic rasterization techniques that provide guidance for the goals of VR in general. This project will benefit from Dr. Mosegaard, who has a PhD in realtime rendering and more than ten years of experience in VR and real-time rendering as well as Dr. Jensen, who has been working on advanced light transport algorithms for more than 30 years. The academic supervisor will be Dr. Frisvad at DTU, Copenhagen. As such the candidate should expect to also spend time in Copenhagen and travel back and forth accordingly.

Requirements

Formal Requirements
  • Master’s degree in Computer Science, Applied Mathematics, Physics or Engineering.
  • No Ph.D. degree1.
  • Less than 4 years of professional employment after obtaining your master’s degree 1
  • Less than 12 months of residency in Denmark in the last 3 years 1
Technical Proficiency
  • Advanced knowledge in the field of computer graphics and light transport simulation
  • Solid working proficiency in writing, debugging and maintaining C++ code
Soft Skills Requirements
  • Fluent spoken and written English. Minimum proficiency level is B2, C1 is definitely preferred.
  • Self-reliant working style
  • Curious and ambitious personality.
  • Prior research and publication experience is considered a definite plus, but is not required.
Back to topic list           How to apply

ESR04 - Developing Robust Error Bounds for Light Transport Algorithms

Luxion ApS, Aarhus, Denmark

Topic Description

The ESR 04 PhD position within PRIME is about developing robust error bounds for light transport algorithms. Sophisticated light transport algorithms are used throughout product design, architectural rendering, and movie production. Often the quality of the final image depends simply on the presence of noise in the image. With the increasing use of deep learning for denoising there is less understanding of the actual error in the final image. Simple algorithms such as path tracing support stochastic error bounds by analysing the variance in the image, but bidirectional methods such as photon mapping and path tracing in combination do not have a metric developed that enables computing error bounds. The goal of this task is to develop error bounds for state of the art light transport algorithms and if necessary modify these algorithms to support robust error bounds. Having error bounds will facilitate accurate predictions of lighting in architecture and product design. Understanding the error properties of advanced light transport algorithms will also help to guide future refinements of these algorithms for the purpose of faster convergence.

Employment Details

Pay is standardised by the EU, and allows for comfortable living as a student by local standards. Living allowance is approximately 4400 EUR/month with Family allowance and Mobility allowance to cover cost of moving. Taxes apply, which would normally be in the range 37-40%. 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.

About the hiring institution

Luxion is a research driven company. At its core Luxion brings innovations in computer graphics and related fields to users in industrial design, marketing and engineering through a fast and easy to use software application. We are a leading developer of advanced 3D rendering, animation and lighting technology with expert knowledge in areas related to daylighting (atmospheric scattering), light scattering by materials (BRDF and BSSRDF models), light transport algorithms such as photon mapping, and real-time rendering technology. KeyShot is the first real-time ray tracing application that uses a physically correct render engine based on scientific research in the areas of scientifically accurate material representation and global illumination.

Luxion ApS office is located in Aarhus, Denmark, where the candidate will work and interact with the team daily. Dr. Jensen is industry advisor at Luxion, and lives in California, US. Weekly meetings are expected that accommodate the time difference. Dr. Jensen has been working on advanced light transport algorithms for more than 30 years. The academic supervisor will be Dr. Frisvad at DTU, Copenhagen. As such the candidate should expect to also spend time in Copenhagen and travel back and forth accordingly.

This project will benefit from Dr. Jensen’s 30 years of experience of light transport algorithms both in academia and in industry.

Requirements

Formal Requirements
  • Master’s degree in Computer Science, Applied Mathematics, Physics or Engineering.
  • No Ph.D. degree1.
  • Less than 4 years of professional employment after obtaining your master’s degree 1
  • Less than 12 months of residency in Denmark in the last 3 years 1
Technical Proficiency
  • Advanced knowledge in the field of computer graphics and light transport simulation.
  • Solid working proficiency in writing, debugging and maintaining C++ code.
Soft Skills Requirements
  • Fluent spoken and written English. Minimum proficiency level is B2, C1 is definitely preferred.
  • Self-reliant working style
  • Curious and ambitious personality.
  • Prior research and publication experience is considered a definite plus, but is not required.
Back to topic list           How to apply

ESR05 - Simulating training data for machine learning

DFKI, Saarbrücken, Germany

Topic Description

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.

Employment Details

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.

About the research group

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.

Requirements

Formal Requirements
  • Master’s degree in Computer Science, Applied Mathematics, Physics or Engineering.
  • No Ph.D. degree1.
  • Less than 4 years of professional employment after obtaining your master’s degree 1
  • Less than 12 months of residency in Germany in the last 3 years 1
Technical Proficiency
  • Background in Computer Graphics, in particular in light transport simulation
  • Experience with Machine Learning
  • Solid working proficiency in writing, debugging and maintaining C/C++ code
Soft Skills Requirements
  • Fluent spoken and written English. Minimum proficiency level is B2, C1 is definitely preferred.
  • Self-reliant working style
  • Curious and ambitious personality.
  • Prior research and publication experience is considered a definite plus, but is not required.
Back to topic list           How to apply

ESR06 - Simulation at the edge of the visible spectrum and beyond

DFKI, Saarbrücken, Germany

Topic Description

The ESR 06 PhD position within PRIME is about simulating non-visible light. Light transport simulation via Monte Carlo methods is seeing an increased use in, e.g., optics to simulate non-visible wavelengths like infrared or ultraviolet. They are also used in telecommunications and electrical engineering to simulate, e.g, radar. In recent years, however, the majority of improvements to light transport algorithms were made mostly with visible light in mind. Effects such as diffraction, which become increasingly important for longer wavelengths, have not received much attention. The research undertaken by this ESR tackles the efficient simulation of such effects.

Employment Details

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.

About the research group

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.

Requirements

Formal Requirements
  • Master’s degree in Computer Science, Applied Mathematics, Physics or Engineering.
  • No Ph.D. degree1.
  • Less than 4 years of professional employment after obtaining your master’s degree 1
  • Less than 12 months of residency in Germany in the last 3 years 1
Technical Proficiency
  • Background in Computer Graphics, in particular in light transport simulation.
  • Solid working proficiency in writing, debugging and maintaining C/C++ code.
  • A background in physics or electrical engineering is a plus.
Soft Skills Requirements
  • Fluent spoken and written English. Minimum proficiency level is B2, C1 is definitely preferred.
  • Self-reliant working style
  • Curious and ambitious personality.
  • Prior research and publication experience is considered a definite plus, but is not required.
Back to topic list           How to apply

ESR 07 – Generative prediction of weathering and aged appearance

UCL, London, Great Britain

Topic Description

The visual appearance of real-world materials does not remain static over time, as the physical objects are subject to environmental effects. Faithfully predicting such changes has a wide range of applications. In industrial designs, certain surfaces attract fingerprints right away, others scratch easily, colours fade through light exposure, and surfaces attract dirt or dust. In architectural applications, the influence of weather and seasons changes materials over time, even to the extent of erosion and build-up of matter. In computer graphics, realistic wear of surfaces is often what separates a “photo-real” look from an unrealistically clean “computer graphics” appearance.

Based on the state of the art in both machine learning and physical modelling, the ESR 07 PhD candidate within PRIME will be developing phenomenological models of material ageing, to plausibly age objects across a wide range of materials and environments, including previously unobserved materials, achieving plausible, photo-realistic renditions of their weathered and worn surface characteristics. These models will be driven by data from physical simulations and from photographs under controlled conditions and time series. The work will be supported through secondments and collaboration with industry leaders in surface appearance authoring.

Employment Details

Pay is standardised by the EU, allows for comfortable living as a student by local standards, and adjusted for local cost of living per country, with a Country Correction Coefficient (CCC) of 139.8% applied to the basic EU rate for positions in the UK. Living allowance is approximately 4400 EUR/month with Family allowance and Mobility allowance to cover cost of moving. The income is taxable. 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 February 2021 at the very latest

About the research group

The ESR will be hosted by the Digital Reality group (led by Prof. Tim Weyrich), in the Department of Computer Science at University College London. Tim Weyrich’s team is dedicated to bridging reality and the digital domain by drawing from computer graphics, computer vision, machine learning and trans-disciplinary domains, combining well-grounded engineering with a scientific approach to phenomena in the real world. The Department of Computer Science is a leading department of Computer Science among UK Universities, and has consistently been awarded the highest research ratings. The ESR will also benefit from local academic ecosystem, in particular through integration in the Virtual Environments and Computer Graphics group (VECG) and through strong ties to the UCL Centre for Artificial Intelligence. The department is located in central London, close to the British Museum and British Library.

Requirements

Formal Requirements
  • Master’s degree in Computer Science, Applied Mathematics, Physics or Engineering. For exceptional candidates, a Bachelor’s degree in the same disciplines will also be considered.
  • No Ph.D. degree1.
  • Less than 4 years of professional employment after obtaining your master’s degree 1
  • Less than 12 months of residency in the UK in the last 3 years 1
Technical Proficiency
  • Some experience with deep learning using TensorFlow or PyTorch.
  • Preference will be given to candidates with experience with training large neural networks, preferably GANs, and being familiar with the current state of the art in the area.
  • Preference will be given to candidates with prior experience in several of the following skills: C++/Python, pathtracing/rendering, OpenGL, OpenCL/CUDA, Matlab, OpenCV, DSLR/machine-vision cameras.
  • Not strictly required, but a definite plus: publications at top tier conferences (e.g. CVPR, SIGGRAPH)
Soft Skills Requirements
  • Fluent spoken and written English. Minimum proficiency level is B2, C1 is definitely preferred.
  • Self-reliant working style
  • Clear communication.
  • Curious and ambitious personality.
  • Willing to take up the challenge of building large and robust systems.
Back to topic list           How to apply

ESR 08 - Controllable generative adversarial networks (GANs) for 3D asset creation

UCL, London, Great Britain

Topic Description

The ESR 08 PhD position within PRIME is about developing controllable GANs to produce realistic content in the form of both geometry and associated material specifications. For example, in the context of indoor room design, an essential requirement is to have a ‘realist’ layout so that the users can use the provided visualizations to make design decisions. Realism in such a context refers to both aspects relating to semantic (e.g., object types, their relative layout, envisioned usage and affordability of the space) and photo-realistic (e.g., object color, assigned material, ‘natural’ illumination) details. The goal of this task is to develop a data-driven machine learning approach to capture and subsequently jointly perform geometry and associated material generation. While we plan to use procedural methods to create geometric content – both in terms of object selection and their placement – by utilizing a database of high-quality object collections and material assignment based on examples provided by professional designers. ESR 08 will focus on developing controllable GANs that help with high quality 3D assets both in terms of scene composition as well as functionality of the environment.

Employment Details

Pay is standardised by the EU, allows for comfortable living as a student by local standards, and adjusted for local cost of living per country, with a Country Correction Coefficient (CCC) of 139.8% applied to the basic EU rate for positions in the UK. Living allowance is approximately 4400 EUR/month with Family allowance and Mobility allowance to cover cost of moving. The income is taxable. 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​ February​ 2021 at the very latest.

About the research group

The ESR will be hosted by the Smart Geometry Processing group (led by Prof Niloy J. Mitra), in the Department of Computer Science at University College London. The group conducts research in structure-aware geometry processing, particularly focusing on developing machine learning frameworks to assist in high quality geometry and pattern synthesis, focusing on geometric and topological connections, as well as dynamic updates under rigid and non-rigid motion. The Department of Computing is a leading department of Computer Science among UK Universities, and has consistently been awarded the highest research rating. The ESR will benefit from a strong research group with multiple faculties and several students creating a lively and stimulating atmosphere. The department is located in central London, close to the British Museum and British Library.

Requirements

Formal Requirements
  • Master’s degree in Computer Science, Applied Mathematics, Physics or Engineering. For exceptional candidates, a Bachelor’s degree in the same disciplines will also be considered.
  • No Ph.D. degree1.
  • Less than 4 years of professional employment after obtaining your master’s degree 1
  • Less than 12 months of residency in the UK in the last 3 years 1
Technical Proficiency
  • Preference will be given to candidates with experience with training large GANs (e.g., on FFHQ datasets) and being familiar with current SOTA in image based GANs.
  • Preference will be given to candidates with prior experience in several of the following skills: C++/Python, raytracing/rendering, OpenGL, OpenCL/CUDA, Matlab, OpenCV, DSLR/machine-vision cameras.
  • Some experience with deep learning using TensorFlow or PyTorch.
  • Publications at top tier conferences (e.g., CVPR, Siggraph) will be considered as a definite plus, but not required.
Soft Skills Requirements
  • Fluent spoken and written English. Minimum proficiency level is B2, C1 is definitely preferred.
  • Self-reliant working style
  • Curious and ambitious personality.
  • Prior research and publication experience is considered a definite plus, but is not required.
Back to topic list           How to apply

ESR09 - Modelling and predictive rendering of particulate materials

DTU, Kgs. Lyngby, Denmark

Topic Description

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.

Employment Details

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.

About the research group

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.

Requirements

Formal Requirements
  • Master’s degree in Computer Science, Applied Mathematics, Physics or Engineering.
  • No Ph.D. degree1.
  • Less than 4 years of professional employment after obtaining your master’s degree 1
  • Less than 12 months of residency in Denmark in the last 3 years 1
Technical Proficiency
  • Advanced knowledge in the field of computer graphics.
  • Foundations in calculus, optics/physics, and geometric modelling.
  • Strong programming skills.
  • Some experience with deep learning techniques.
Soft Skills Requirements
  • Fluent spoken and written English. Minimum proficiency level is B2, C1 is definitely preferred.
  • Self-reliant working style
  • Curious and ambitious personality.
  • Prior research and publication experience is considered a definite plus, but is not required.
Back to topic list           How to apply

ESR10 - Material appearance specification and rendering using the BSSRDF

DTU, Kgs. Lyngby, Denmark

Topic Description

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.

Employment Details

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.

About the research group

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.

Requirements

Formal Requirements
  • Master’s degree in Computer Science, Applied Mathematics, Physics or Engineering.
  • No Ph.D. degree1.
  • Less than 4 years of professional employment after obtaining your master’s degree 1
  • Less than 12 months of residency in Denmark in the last 3 years 1
Technical Proficiency
  • Advanced knowledge in the field of computer graphics.
  • Some experience with rendering, ray tracing in particular.
  • Foundations in calculus, optics/physics, and geometric modelling.
  • Strong programming skills.
Soft Skills Requirements
  • Fluent spoken and written English. Minimum proficiency level is B2, C1 is definitely preferred.
  • Self-reliant working style
  • Curious and ambitious personality.
  • Prior research and publication experience is considered a definite plus, but is not required.
Back to topic list           How to apply

ESR 11 - Sparse representations for appearance modeling and rendering

Linköping University, Sweden

Topic Description

The ESR 11 PhD position within PRIME is focusing on sparse representations for image synthesis. Specifically we will research and investigate novel digital representations for material properties such as reflectance, color, texture and micro-geometry; all of which are key components in the simulation of photo-realistic computer graphics renditions of objects and scenes. The goal of this ESR is to develop new appearance, or material, models that enable accurate and expressive representations that can be efficiently used in off-line and real-time computer graphics rendering. In addition to material models, we will also investigate the use of sparse representation within the image synthesis process to enable the use of compressed sensing for multi-spectral rendering. This ESR combines applied mathematics with computer graphics/vision.

Employment Details

The PhD position is hosted by the Computer Graphics and Image Processing group at the department for Science and Technology at Linköping University, Sweden. The Swedish PhD programme is 4 years of full time PhD studies and research with an optional extra year of teaching. Teaching duties are typically conducted part time throughout the PhD studies. The salary is standardised by the EU, and Linköping University. Preferred start dates ranges from October 1st, 2020, to March 31th, 2021.

About the research group

The computer graphics and image processing group at Linköping University consists of 15 senior researchers, phd students and research engineers. The group is led by Prof. Jonas Unger and is driving research projects and educational activities at the intersection of computer graphics and computer vision focusing on new theory and methodology for image capture, image analysis and image synthesis. Research topics and applications are found in a range of areas including representation of data for visualization, image based measurements of physical phenomena, algorithms for image synthesis, high dynamic range imaging, light field imaging, and machine learning.

With a strong foundation in theoretically oriented research, the group is active within a number of demonstrator projects and industrial and academic collaborations directed towards development of state-of-the-art applications ranging from 3D-reconstruction of scenes, photorealistic image synthesis and digitization of optical material properties to computer vision for heart surgery, perceptual display algorithms and software for autonomous systems such as self driving cars and robot navigation.

Requirements

Formal Requirements
  • Master’s degree in Computer Science, Applied Mathematics, Physics or Engineering.
  • No Ph.D. degree1.
  • Less than 4 years of professional employment after obtaining your master’s degree 1
  • Less than 12 months of residency in Sweden in the last 3 years 1
Technical Proficiency
  • Documented experience in computer graphics and computer vision
  • Strong background in applied mathematics and signal processing
  • Experienced in computer programming using C/C++ and Python
Soft Skills Requirements
  • Fluent spoken and written English. Minimum proficiency level is B2, C1 is definitely preferred.
  • Self-reliant working style
  • Curious and ambitious personality.
  • Prior research and publication experience is considered a definite plus, but is not required.
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ESR 12 - Compressed sensing for material and appearance capture

Linköping University, Sweden

Topic Description

The ESR 12 PhD position within PRIME is focusing on sparse representations and compressed sensing for computational imaging. Specifically we will research and investigate novel methodologies and theories that enable efficient capture and estimation of an object’s appearance (reflectance properties, color, texture, surface micro-geometry) using compressed sensing. The overall goal is to develop novel techniques that can capture an object’s appearance as efficiently as possible using only a minimum number of measurements. The recovered digital model will form the basis for creating photo-realistic computer graphics renditions of the captured object in both off-line and real-time rendering softwares. This ESR combines applied mathematics and computer graphics/vision with light field imaging and physical measurement devices.

Employment Details

The PhD position is hosted by the Computer Graphics and Image Processing group at the department for Science and Technology at Linköping University, Sweden. The Swedish PhD programme is 4 years of full time PhD studies and research with an optional extra year of teaching. Teaching duties are typically conducted part time throughout the PhD studies. The salary is standardised by the EU, and Linköping University. Preferred start dates ranges from October 1st, 2020, to March 31th, 2021.

About the research group

The computer graphics and image processing group at Linköping University consists of 15 senior researchers, phd students and research engineers. The group is led by Prof. Jonas Unger and is driving research projects and educational activities at the intersection of computer graphics and computer vision focusing on new theory and methodology for image capture, image analysis and image synthesis. Research topics and applications are found in a range of areas including representation of data for visualization, image based measurements of physical phenomena, algorithms for image synthesis, high dynamic range imaging, light field imaging, and machine learning.

With a strong foundation in theoretically oriented research, the group is active within a number of demonstrator projects and industrial and academic collaborations directed towards development of state-of-the-art applications ranging from 3D-reconstruction of scenes, photorealistic image synthesis and digitization of optical material properties to computer vision for heart surgery, perceptual display algorithms and software for autonomous systems such as self driving cars and robot navigation.

Requirements

Formal Requirements
  • Master’s degree in Computer Science, Applied Mathematics, Physics or Engineering.
  • No Ph.D. degree1.
  • Less than 4 years of professional employment after obtaining your master’s degree 1
  • Less than 12 months of residency in Sweden in the last 3 years 1
Technical Proficiency
  • Documented experience in computer graphics and computer vision
  • Strong background in applied mathematics and signal processing
  • Experienced in computer programming using C/C++ and Python
Soft Skills Requirements
  • Fluent spoken and written English. Minimum proficiency level is B2, C1 is definitely preferred.
  • Self-reliant working style
  • Curious and ambitious personality.
  • Prior research and publication experience is considered a definite plus, but is not required.
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ESR13 - Efficient Rendering of Volumetric Structured Appearances

University of Zaragoza, Spain

Topic Description

The ESR 13 PhD position within PRIME is about developing theory and methods for rendering volumetric heterogeneous appearances. Volumetric appearances are ubiquitous in the real world, from translucent organic materials to clouds, smoke, or densely packed granular media. Most previous works in graphics have assumed an uncorrelated distribution of scatterers; here, the focus will be placed on structured appearances, common in, e.g., textiles. The ESR will work on modeling and efficient rendering techniques for materials with these appearances.

Employment Details

Pay is standardised by the EU, is ample by local standards, and allows for comfortable living in Zaragoza. Employment duration within PRIME is up to 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.

About the research group

The Graphics and Imaging Lab of the University of Zaragoza in Spain is a very active group in the areas of computer graphics, virtual reality, perception, and computational imaging. The group publishes regularly in top venues in these areas, and collaborates with a number of international top institutions, both in academia and industry. Prof. Diego Gutierrez is the founder and head of the lab, which additionally has four faculty members, three postdocs, seven PhD students and a number of master and undergrad students. Members work closely with each other, forming a tight team with a great working environment, and with English as the working language. Check us out at: http://graphics.unizar.es/

Requirements

Formal Requirements
  • Master’s degree in Computer Science, Applied Mathematics, Physics or Engineering.
  • No Ph.D. degree1.
  • Less than 4 years of professional employment after obtaining your master’s degree 1
  • Less than 12 months of residency in Spain in the last 3 years 1
Technical Proficiency
  • Background in Computer Graphics, in particular in light transport simulation and appearance modeling.
  • Foundations in calculus and statistics.
  • Strong programming skills in C++.
  • Experience with modern renderers (e.g., PBRT or Mitsuba) is a plus.
Soft Skills Requirements
  • Fluent spoken and written English. Minimum proficiency level is B2, C1 is definitely preferred.
  • Self-reliant working style
  • Curious and ambitious personality.
  • Prior research and publication experience is considered a definite plus, but is not required.
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ESR14 - Perceptually-Driven Intuitive Editing of Material Appearance

University of Zaragoza, Spain

Topic Description

Visual appearance helps us recognise real-world objects and convey information about them, such as whether an object is wet or dry, a surface is hard or soft, etc. However, simulating and editing such visual appearance is a challenging goal involving fields like computer science, applied mathematics, or physics. The ESR 14 PhD candidate within PRIME will develop novel ways to model and edit material appearance in a manner that is intuitive and correlates well with human perception. In particular, the candidate will develop a descriptive semantic space for material appearance, which will bridge the current gap between low-level appearance optical properties, and high-level, intuitive traits.

Employment Details

Pay is standardised by the EU, is ample by local standards, and allows for comfortable living in Zaragoza. Employment duration within PRIME is up to 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.

About the research group

The Graphics and Imaging Lab of the University of Zaragoza in Spain is a very active group in the areas of computer graphics, virtual reality, perception, and computational imaging. The group publishes regularly in top venues in these areas, and collaborates with a number of international top institutions, both in academia and industry. Prof. Diego Gutierrez is the founder and head of the lab, which additionally has four faculty members, three postdocs, seven PhD students and a number of master and undergrad students. Members work closely with each other, forming a tight team with a great working environment, and with English as the working language. Check us out at: http://graphics.unizar.es/

Requirements

Formal Requirements
  • Master’s degree in Computer Science, Applied Mathematics, Physics or Engineering.
  • No Ph.D. degree1.
  • Less than 4 years of professional employment after obtaining your master’s degree 1
  • Less than 12 months of residency in Spain in the last 3 years 1
Technical Proficiency
  • Knowledge of statistical modelling and deep learning techniques.
  • Solid foundation in the field of computer graphics.
  • Knowledge in perception and/or vision science.
  • Strong programming skills (e.g., Python, C/C++, Matlab).
Soft Skills Requirements
  • Fluent spoken and written English. Minimum proficiency level is B2, C1 is definitely preferred.
  • Self-reliant working style
  • Curious and ambitious personality.
  • Prior research and publication experience is considered a definite plus, but is not required.
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ESR15 - Data-driven Wave Optical Material Appearance Modelling and Rendering

Imperial College London, United Kingdom

Topic Description

The ESR 15 PhD position within PRIME is about practical measurement-based modelling and rendering of wave optical effects in material appearance, which are becoming increasingly common in modern manufactured materials. Examples of this includes diffraction, thin film effects and/or birefringence visible on various types of layered surfaces, paints and cosmetics. The ESR will build upon recent work of the RGI group at Imperial College on practical image-based measurement of surface diffraction and aim to estimate more detailed and a broader class of wave optical parameters from measurements for predictive rendering applications. Besides practical wave-optical imaging, the ESR will also investigate novel learning-based approaches for estimating detailed wave optical parameters of material appearance from sparse observations, as well as complementary neural rendering approaches for efficiently rendering complex wave optical effects for interactive visualisation applications.

Employment Details

Pay is standardised by the EU, and adjusted for local cost of living per country, with a Country Correction Coefficient (CCC) of 139.8% applied to the basic EU rate for positions in the UK. Living allowance is approximately 4500 EUR/month with Family allowance and Mobility allowance to cover cost of moving. The income is taxable. 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 by April 2021 at the very latest.

About the research group

The ESR will be hosted by the Realistic Graphics and Imaging group (led by Dr Abhijeet Ghosh), in the Department of Computing at Imperial College London. The group conducts research in realistic computer graphics spanning acquisition, modelling and rendering of real world materials, objects and scenes, as well as imaging for graphics and vision including computational photography and illumination. The Department of Computing is a leading department of Computer Science among UK Universities, and has consistently been awarded the highest research rating. There are over fifty academic staff members actively involved in research, creating a lively and stimulating atmosphere. The department is located in central London, next to Hyde Park and the museums of South Kensington.

Requirements

Formal Requirements
  • Master’s degree (with distinction or equivalent) in Computer Science, Applied Mathematics, Physics or Engineering.
  • No Ph.D. degree1.
  • Less than 4 years of professional employment after obtaining your master’s degree 1
  • Less than 12 months of residency in the UK in the last 3 years 1
Technical Proficiency
  • Preference will be given to candidates with prior experience in several of the following skills: C++/Python, raytracing/rendering, OpenGL, OpenCL/CUDA, Matlab, OpenCV, DSLR/machine-vision cameras.
  • Some experience with deep learning using TensorFlow or PyTorch.
Soft Skills Requirements
  • Fluent spoken and written English. Minimum proficiency level is B2, C1 is definitely preferred.
  • Self-reliant working style
  • Curious and ambitious personality.
  • Prior research and publication experience is considered a definite plus, but is not required.
Back to topic list           How to apply
Footnotes:
  1. These are mobility and career stage rules mandated by the EU for ITN projects: the intended goal is to promote mobility of young researchers. In an ITN, hiring persons who have recently been a resident in the hiring country is not possible: nor is the hiring of researchers who are already too far along their career paths, or who already have a Ph.D.

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