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Internship : Nlp for Robotic Communication with
vor 1 Woche
Job number
1464
Date posted Feb 21, 2024
Job category BI / Big Data Level of experience 0 to 3 years
Job type Full time Employment type
Internship
Work site Lausanne Company
MEET OUR INTERNS
About ELCA
We are ELCA, one of the largest Swiss IT tribe with over 2,000 experts. We are multicultural with offices in Switzerland, Spain, France, Vietnam and Mauritius. Since 1968, our team of engineers, business analysts, software architects, designers and consultants provide tailor-made and standardized solutions to support the digital transformation of major public administrations and private companies in Switzerland. Our activity spans across multiples fields of leading-edge technologies such as AI, Machine & Deep learning, BI/BD, RPA, Blockchain, IoT and CyberSecurity.
Your role
As space exploration advances, the need for seamless communication between robots and astronauts
becomes paramount. Enabling robots to comprehend astronauts' communication, especially focusing on spatial language nuances and conversations in varied contexts is key for enhancing cooperation and efficiency in space missions. The goal of this project is to equip robots with the ability to interpret the tone, intensity, and contextual cues embedded in astronauts' communication to improve the comprehension of spatial language nuances and other linguistic cues for informed decision-making during space missions.
**Activities**: You will take the role of a junior data scientist and explore methods to synchronize rover actions with the subtleties and context of astronaut communication, thereby enhancing the reliability of voice-enabled control of rovers.
**Challenges**: This internship combines multiple domains of machine learning, aiming at enriching traditional NLP techniques with additional speech cues. You will need to find and compare state of the art models, and devise a method to link the NLP and Speech aspects of the project.
This internship will be co-supervised by the EPFL Xplore team who will bring their real-life experience on working with Rovers.
**Objectives**:
Build a project plan with the support of the supervisors (ELCA and EPFL Xplore).
Find or build a relevant dataset (i.e. synthetic data) to support the tests.
Extract instructions from speech and map them to rover actions.
Extract speech cues like sentiments and intensity from speech.
Enrich and tune rover’s actions based on extracted sentiments.
**Offer**:
› A dynamic work and collaborative environment with a highly motivated multi-cultural and international sites team.
› Attractive prospects for career path & Personal development through training and coaching.
› The chance to make a difference in peoples’ life by building innovative solutions.
› Various internal coding events (Hackathon, Brownbags), see our technical blog.
› Monthly After-Works organized per locations.
› Good work-life balance (2 days per week from home).
› Attractive pension fund with 3 types of Job Category employees’ contributions.
› Premium and worldwide coverage with Zurich.
**Profile**:
- Machine Learning
- Natural Language Processing
- Audio Processing
- Python, Deep learning libraries (e.g. PyTorch)
- Experience with LLMs is a plus
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