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PHD opening

Scholarship offer - PhD Student in Neural Rendering

Jagiellonian University · Faculty of Mathematics and Computer Science · Poland

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About this position

Position in the project Effective rendering of 3D objects using Gaussian Splatting in an Augmented Reality environment, FENG.02.02-IP.05-0114/23.

Project is being carried out within the First Team FENG programme of the Foundation for Polish Science.

3D object generation is currently one of the most important trends in computer graphics. Classical representations are relatively easy to render, while being difficult for generative machine learning models. A recent breakthrough in this area is the Neural Radiance Field (NeRF) and Gaussian Splatting (GS) models.

The main goal of the research program is to create an augmented reality environment using neural rendering methods.

Requirements

Research Field

Computer science

Education Level

Master Degree or equivalent

Research Field

Mathematics

Education Level

Master Degree or equivalent

Skills/Qualifications

  • MSc degree in Computer Science or a related field;
  • PhD student status required during the contract period;
  • Experience in implementing neural rendering models;
  • Practical experience in the analysis of scientific data;
  • Proficiency in programming with Python;
  • Familiarity with the neural rendering algorithms;
  • Ability to work on interdisciplinary projects;
  • Fluency in both written and spoken English.

Languages

ENGLISH

Level

Excellent

How to apply

  1. Read the full advert on the source site — it carries the authoritative terms.
  2. Email the contact below with your CV and a short, specific message. See Emailing Professors.
  3. Prepare your SOP, CV, transcripts and referees before the deadline.
  4. Apply through the university's own portal. Never pay a fee to a third party.

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Scholarship offer - Student in Neural Rendering

Jagiellonian University · Faculty of Mathematics and Computer Science

  • Kraków, Poland
  • Mathematics

Position in the project Effective rendering of 3D objects using Gaussian Splatting in an Augmented Reality environment, FENG.02.02-IP.05-0114/23. Project is being carried out within the First Team FENG programme of the Foundation for Polish Science. 3D object generation is currently one of the most important trends in computer graphics. Classical representations are relatively easy to render, while being difficult for generative machine learning models. A recent breakthrough in this area is the Neural Radiance Field (NeRF) and Gaussian Splatting (GS) models. The main goal of the research progr