Virtual Reality has revolutionized various industries, from gaming to healthcare, and now it is making its mark on training and education.
VR training solutions offer a realistic and immersive environment that allows trainees to practice their skills, make decisions, and learn from their mistakes in a safe and controlled environment. While visual and auditory stimuli play a significant role in creating a realistic VR experience, the sense of touch cannot be overlooked.

The goal of this internship is to create a machine-learning model that can accept the sensor data of the SenseGlove Nova, and convert this to a real-time virtual hand pose. By using machine learning, the model may better predict hand poses than our current algorithm..

What About the Team?

We are located within the high-tech incubator YES!Delft. We work with a growing interdisciplinary team of talents, consisting of a mix of senior and junior team members with a worldwide ambition to change the way we interact with digital environments. Our corporate culture is flat and informal, but we are professionally organized. Personal responsibility is vital in the way we work.

Job Description

This project aims to develop and evaluate a handheld or wearable
prototype that simulates a grasped object’s weight in Virtual Reality (VR).

The model will have to be built from scratch. For training the machine learning model, you will wear a glove with accurate finger tracking underneath the SenseGlove to provide real-time accurate hand pose output. After training the network, this precise glove should no longer be required, and the network can operate based on the sensor data of the SenseGlove only.

This internship will consist of developing several concepts on neural network architectures to achieve this, and a proof of concept.

Requirements

Ideally, you are a Master Student, The project has a difficulty level for a university master’s student but do not hesitate to apply if you feel you have sufficient experience.

You have, are or can:

A solid technical background in robotics, machine learning
Do patient and accurate work
Have an eye for detail
You work meticulously

Motivation letter mandatory to include:

· What courses you have followed related to machine learning, and
explaining some of their contents.

· Describe a (small) project you did with machine learning (may have
been for a course), and what architecture you have used.

What we offer?

Bi-weekly team lunches
Lots of adventure; and nice colleagues
Fun team building activities
€320 monthly compensation
Start date in January 2024

What Else Is Good To Know?

At SenseGlove you can be yourself. That includes your gender identity, sexual orientation, religion, ethnicity, age or disability status. Diversity is important to us.
And here’s a few more things about us:
Forbes: How Senseglove Could Change Virtual Reality Training Forever (https://bit.ly/3tbbfss)
Video Future Innovation Week with SenseGlove (https://youtu.be/58qVOs8JdFo)

Contact us right away

If you are interested, please send us your resume and a letter indicating your motivation regarding the job description and your experience regarding the skill set. If you have additional questions, feel free to give us a call : 015 200 2148

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