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Master thesis (EX-jobb) at Interspectral 2020

We have found our master thesis students for spring 2020.

Interspectral develops and sells Inside Explorer, an interactive software based on real captured 3D data. Inside Explorer is being used by millions yearly and is found in both public venues such as Museums and Science centers, within education and as industrial support.

We constantly strive to develop our software and have many possible updates and features to develop to improve and grow our software for all markets.

Spring 2020 we want to welcome Master thesis student to co-work with us in our software development. We have three scopes and hope to find 1-2 students to join us at our office in Norrköping starting the beginning of 2020.

The address to apply if found under each description. Make sure to include a description of yourself and why you apply for the specific thesis.

Apply as soon as possible!

1 Massive Point Cloud Rendering (1-2 students)

We are looking for 1-2 master thesis students who wants to tackle the problem of rendering a massive amount of point cloud data in an interactive and real-time environment. Knowledge in C++ and OpenGL is required and also proficiency in computer graphics and linear algebra.

To apply: careers@interspectral.com
Use subject: "Massive point cloud"

2 Massive Volumetric Data Rendering on Thin Clients (1-2 students)

We are looking for 1-2 master thesis students who want to enable the publication of interactive content on the web or thin clients by circumventing the problems that exist with volume rendering of massive datasets.

Knowledge in web technology, WebGL and OpenGL is required and also proficiency in computer graphics, image processing, and linear algebra.

To apply: careers@interspectral.com
Use subject: "Thin client"

3 Seamless LOD levels for Volumetric Data on Local Characteristics (2 students)

We are looking for 2 master thesis students who want to solve the problem of seamless LOD (level of detail) levels for volumetric data. The algorithm should be able to sample sub-data from large amounts of volumetric data and seamlessly move between different LOD levels. Knowledge in C++ and OpenGL is required and also proficiency in computer graphics, image processing, and linear algebra.

To apply: careers@interspectral.com
Use subject: "LOD"

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