Ph.d. in Computer Science, Data Science

hace 3 semanas

Barcelona, España Chordata Tech SL A tiempo completo

Chordata Motion is looking for a Data Scientist and Machine Learning enthusiast willing to take an active role in designing, developing, and implementing machine learning algorithms in the field of motion capture.

**About Us**:
Chordata Motion is the **first open-source motion capture system **available on the market. Our mission is to deliver accurate **inertial-based **motion capture solutions in a **modular, and flexible **way.

Currently, our main development is a motion capture system composed at its core of hardware components and several software pieces that collaborate to generate the capture. The software exposes several layers of APIs, and the user can access the sources of the hardware. All these characteristics make the system completely customizable and make us refer to it as an open-source hardware/software motion capture framework.

After many years of purely open hardware/software availability, Chordata Motion has recently released the **first commercial version **of its hardware. Giving the already growing user base a more direct approach to the system. Users from all over the world are implementing our system in thriving sectors such as **Virtual Reality, Sports and Health Research, Animation, Video Game Development, and Digital Arts **.

Chordata Tech, the company behind **Chordata Motion **, is **young, dynamic, and guided by the values of the open-source community: transparency, shared knowledge, and flexibility. **Our products are conceived to follow these criteria, providing users with the tools and knowledge to make motion capture on their own terms.

**How will you contribute?**:
You will be joining the Chordata Motion technical team to lead the implementation of AI-based processing in our framework.

**The main challenges are:
- Familiarise yourself with the capture stream and the 3D virtual skeleton as a data structure.
- Use, analyze, and manipulate motion capture datasets.
- Design suitable AI models to be implemented.
- Deploy in constrained hardware for real-time support.

**Skills/Qualifications**:
**Education**:
You hold a Ph.D. title (Spanish or validated by a Spanish University) in the fields:
**Experience and skills**:

- Experience in algorithmic development.
- Knowledge of programming languages suitable to the required tasks, preferably Python, the related data analysis pipeline (numpy, pandas, etc), and deep learning frameworks (Tensorflow, Keras, PyTorch).
- Ability to quickly learn new languages. Previous knowledge in C/C++ is a plus.
- Strong background in Machine Learning preferably with good exposure in one or many of these areas: human-computer interaction, 3D environments, and physical models.
- Specialization in the processing of data coming from physical sensors or aimed at 3D simulations would be appreciated.

**Additional Skills**:

- **Command of English language and grammar, both verbal and written will be mandatory. Good knowledge of Spanish or Italian would be appreciated.**:
- Familiarity with foundational concepts and practices of open source projects such as version control systems, collaborative discussion tools, transparent and open reporting, etc.
- Communication skills in a group labor environment.
- Experience in remote work environments.
- Experience in a professional work setting in a 3D-related field (physical simulations, VR, video games, etc).
- (Demostrable) contribution to open-source projects.

**Benefits**:

- Combine the benefits of a remote-first company working from our office in the tech district of Barcelona and the possibility of working remotely.
- Working in an open company, helps us empower our belief that we play an essential role in paving the way to a more open society, where the division of knowledge plays an essential role.
- A multicultural and international work environment with several nationalities represented in our team.
- An environment encouraging curiosity, innovation, and entrepreneurship in all areas.
- 25 days paid annual leave for a full-time position, 11 public holidays per annum, the possibility of flexible working hours

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