RAINBOW

Looking for PhD candidates

Complete your doctoral studies at a top lab in Computer Graphics, and within the exclusive training environment of a Marie Sklodowska-Curie European Training Network.

For more information, contact  jobs@mslab.es

The lab

Multimodal Simulation Lab

We develop novel simulation models and algorithms in computer graphics. We often combine them with optimization methods to produce design solutions in various settings: clinical applications, computational fabrication, virtual touch, or fashion. We aim to bridge the real and the virtual, producing simulation results of stunning quality that allow us to understand and design reality. Check our web page.

6 students as 1 st authors of ACM Trans. on Graphics papers. Check out the latest one, cover image of the ACM SIGGRAPH Asia proceedings 2017.

Student paper/presentation awards at I3D, SCA, WHC.

Seniors with high scientific profile.

Many industry and academic collaborations. Check our publications.

Projects

The MSLab at URJC Madrid will participate in 4 exciting projects in the network of RAINBOW. All 4 projects will share some common grounds:

  • Research on fundamental simulation methods for interaction with anatomical models.
  • Tight connection between applied research at a high-innovation industrial setting and scientific research in the academic setting at URJC.
  • Participation in training activities of the RAINBOW network, including travel to in-person courses at other institutions.
  • Additional research stays at other institutions within the network.
  • Doctoral supervision by Prof. Miguel Otaduy at URJC, with co-supervision by a research lead at a collaborating company.

Spine Inverse Modelling for Scoliosis Brace Design

Academic partner: URJC

Industrial partner: Anatoscope

This project will research computational methods for the design of personalized clinical devices. We wish to provide solutions for this complex task that maximize automation and ease of use. This will encompass the design of methods to infer biomechanical models directly from medical images, development of fast-simulation approximations of biomechanics, and definition of optimization algorithms that search the space of device designs. In addition, the solutions will include intuitive interfaces for design specification.


Scoliosis brace design will be our reference example, including others.

Previous Work

Check our previous research on computational design methods for flexible objects:


Computational Design and Automated Fabrication of Kirchhoff-Plateau Surfaces
Design and Fabrication of Flexible Rod Meshes

Interactive Optimization-Based Design of Cardiovascular Devices

Academic partner: URJC

Industrial partner: Next Limit

Planning of surgical interventions implies deformations and topological changes to anatomical models. To access such information during surgical interventions, the anatomical models must be transformed to the time-varying configuration of the patient. This problem is connected to two other problems often addressed in computer animation and computer vision: animation control and vision-based non-rigid model estimation. However, these connections have not been explored to date.


This project will research animation control and non-rigid model estimation methods for the fusion of planning and sugical anatomy. They will be based on efficient deformation models, mechanical model estimation, and optimization methods.

Previous Works

Check our previous research on efficient fluid simulation methods:


Conformation Constraints for Efficient Viscoelastic Fluid Simulation
DYVERSO: A Versatile Multiphase Position-Based Fluids Solution for VFX

Optimization-Based Fusion of Surgical Planning Data for Intraoperative Navigation*

Academic partner: URJC

Industrial partner: GMV

*The PhD student for this project will be hired by GMV.


This project is inspired by the ambition of empowering clinicians with the ability to inspect and interact with medical volume images (CT-scans or MRIs) in a tangible manner, much like they would do with a physical body. The project will cover efficient yet accurate biomechanical models to enable interactive manipulation and topological changes to medical images, as well as tangible interaction methods. The result will allow users to manipulate such medical images directly with their hands.


Tangible manipulation and cutting operations on touchscreens will be the reference example.

Previous Works

Check our previous research on mechanical model estimation and optimization methods:


Modeling and Estimation of Energy-Based Hyperelastic Objects
Data-Driven Estimation of Cloth Simulation Models

Surgical Planning through Hands-on Medical Image Editing

Academic partner: URJC

Industrial partner: GMV

This project is inspired by the ambition of empowering clinicians with the ability to inspect and interact with medical volume images (CT-scans or MRIs) in a tangible manner, much like they would do with a physical body. The project will cover efficient yet accurate biomechanical models to enable interactive manipulation and topological changes to medical images, as well as tangible interaction methods. The result will allow users to manipulate such medical images directly with their hands.


Tangible manipulation and cutting operations on touchscreens will be the reference example.

Previous Work

This work will build on our knowledge on efficient deformation models and tangible interaction methods:


High-Resolution Interaction with Corotational Coarsening Models
Optimization-Based Wearable Tactile Rendering

Conditions

We seek candidates that can demonstrate excellent training on computational sciences, numerical methods, simulation methods and/or computer graphics, and who wish to develop highly innovative research in these areas, applied to medical settings.

 We offer 3 positions for 3-year PhD contracts starting October 1, 2018 

The economic conditions are set by the MSCA European Training Network program, with a gross annual pay of 32,221€.
In case of elegibility for family allowance, the gross annual pay increases to 34,437€.

 The application process is open and ends on May 8, 2018

Requirements:

  • Candidates must have carried out their undergraduate and/or master studies in one of the following areas: Computer Science, Engineering, Mathematics, Physics (or similar).
  • Since the scholarship is part of the MSCA European Training Network program, candidates must - at the date of the recruitment - be “Early Stage Researchers” (i.e. in the first 4 years of their research career and not have a doctoral degree).
  • Candidates cannot have resided in the country of their host organization (Spain) for more than 12 months in the three years immediately before the recruitment.
  • Candidates must be, at the date of the recruitment, eligible for enrolment in the PhD program at URJC. This means that they must have completed an undergraduate degree and a Master program, granting no less than 300 ECTS (European Credit Transfer and Accumulation System). Completion of the Master studies is not a requirement to apply, but it is a requirement to start the contract (October 1, 2018). Candidates who have completed their studies outside the European system will have to certify their degrees by the date of recruitment.

Application data:

  • CV, including if suitable: list of degrees, summary of grades and ranking among peers, research experience, professional experience, publications, portfolio.
  • Personal statement.
  • 2 letters of recommendation.
  • Confirmation of being fluent in English (written and oral).
  • Sort your preference for the research topic among:
    1. Spine inverse modeling for scoliosis brace design.
    2. Interactive optimization-based design of cardiovascular devices.
    3. Surgical planning through hands-on medical image editing.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 764644