Spatial Computing Research Intern

at  Nokia

GENERAL QUALIFICATIONS

• Enrolled in a PhD or MSc program in electrical engineering, computer science, mathematics, physics, or another related field
• Good theoretical knowledge in machine learning/deep learning technology fundaments
• Hands-on skills and proven record of experience with deep learning frameworks (Tensorflow, pytorch, keras or other)
• Hands-on skills on traditional Image/ video processing (e.g. using OpenCV or similar proven technologies)
• Ability to solve complex problems, analytical mindset, proactiveness and can-do attitude

SPECIFIC QUALIFICATIONS (WOULD BE NICE TO HAVE ANY SUBSET OF THE FOLLOWING):

• Experience with neural reconstruction (NeRF technologies and/or Gaussian splatting)
• Background and interest in semantic 3D reconstruction
• Experience with simultaneous localization and mapping, visual positioning, camera calibration
• Interest and skills in building /programming small robots
• Advanced rendering/image synthesis technologies
• Excellent software development skills, primarily in Python and C++
• Fluency in English, both written and spoken, excellent presentation skills
• Background and interest in reinforcement learning for autonomous agents

As part of our team, you will contribute to applied research through:

• Close cooperation with top researchers in the areas of interest through daily interaction, representing a unique opportunity for continuous learning
• Learning and implementing state-of-the-art AI and computer vision algorithms
• Integrating and adapting AI models into research prototypes
• Participating in the creation of scientific papers, invention reports
• Presenting ideas/results from your activities to researchers, to the leadership team and to business units