Research Engineer (m/f/div)

Cyber Valley GmbH; Tübingen; Vor Ort; EUR 50.000 - 80.000; Vollzeit

Zusammenfassung

Join a pioneering research team at a leading institute focused on advancing the field of non-verbal communication. This exciting role involves leading the development of innovative software tools to explore human interactions using cutting-edge technologies in computer vision and machine learning. Collaborate with top researchers and practitioners while contributing to a multidisciplinary project that aims to deepen our understanding of social interactions. Enjoy a dynamic work environment with access to state-of-the-art resources and the opportunity to publish your findings in the scientific community. If you are passionate about technology and research, this is the perfect opportunity for you.

Leistungen

Access to cutting-edge technologies

Dynamic work environment

Subsidy for public transport

Support for family life

Option for mobile working

International collaboration

One-year contract with extension possibility

Qualifikationen

• Strong academic background in computer vision and machine learning.
• Proficiency in Python and experience with deep learning frameworks.

Aufgaben

• Lead the development of the NICE Toolbox for non-verbal communication.
• Enhance algorithms for body tracking and gaze intersection.

Kenntnisse

Software Design and Development

Computer Vision

Machine Learning

Python

CMake

OpenCV

PyTorch

Streamlit

ReRun

Continuous Integration

Ausbildung

PhD in Computer Vision or Machine Learning

MSc in Computer Vision or Machine Learning

Tools

Git

Deep Learning Frameworks

Biofeedback Sensors

IMUs

Pressure Sensors

Eye-Trackers

Jobbeschreibung

MPI-IS is looking for a research engineer.

The Optics & Sensing Laboratory (OSLab) at the Max Planck Institute for Intelligent Systems in Tübingen, Germany, has an open position for a Research Engineerto lead the development of the Non-verbal Interpersonal Communication Exploration (NICE) Toolbox. The lab supports the creation of highly realistic human and animal avatars for use in research, film, virtual reality, biology, and medicine. By utilizing advanced 3D & 4D capture facilities, machine learning, computer vision, and cutting-edge graphics, the lab models the shape and behavior of humans and animals. The NICE Toolbox project aims to develop software that assists non-computer scientists in exploring non-verbal communication by detecting visual movements and behaviors of humans in videos, ultimately contributing to a better understanding of social interactions and communication patterns.

The research engineer will lead the development and extension of the non-verbal interpersonal synchrony communication exploration toolbox. This position involves collaboration with industry researchers and computer vision engineers. The candidate should have strong skills in software design and development, along with experience in computer vision and machine learning.

The responsibilities include leading the following project areas:

• Extending the software for human-to-avatar communication, including creating data assets and conducting experiments for comparison and analysis.
• Engaging in new and existing collaborations with researchers and practitioners in psychology, psychotherapy, social machine learning, and related fields.

Key tasks include:

• Maintaining, extending, and testing the developed software, including the use of continuous integration (CI).
• Enhancing body tracking, facial expression, and gaze intersection algorithms.
• Developing evaluation pipelines and tools in computer vision and data processing.
• Publishing open-source datasets and software tools for the scientific community.
• Developing novel systems to record data on human-to-avatar communication.
• Supporting the development of communication quality analysis tools through collaborations with research and industry partners.
• Overseeing and assisting student assistants involved in the project.
• Contributing to grant writing and applications to extend the project beyond its initial one-year duration.

Education & Experience

The ideal candidate will have:

• A PhD degree or an MSc with a strong academic background in computer vision and machine learning.
• Proficiency in programming languages such as Python, CMake, OpenCV, PyTorch, Streamlit, and ReRun.
• Experience with deep learning frameworks.
• Familiarity with data acquisition from sensors, such as biofeedback, IMUs, pressure sensors, and eye-trackers.
• Knowledge of software engineering practices, including continuous integration, unit testing, OOP, and Git.
• Strong oral and written communication skills in English.
• A team-oriented, detail-focused mindset.

Their Offer

The position provides:

• The opportunity to work on a multidisciplinary collaborative project at the Max Planck Institute for Intelligent Systems in Tübingen.
• Access to cutting-edge technologies related to computer vision and multi-sensor systems.
• A dynamic and motivating work environment with international scientists, engineers, and administrative staff.
• A salary in accordance with the collective agreement for the public sector (TVöD Bund) and the federal pay scale (TV EntgO-Bund), based on qualifications.
• A subsidy for the Deutschland-Jobticket (ÖPNV).
• Support for family life with connections to a daycare center and the option for mobile working.
• A one-year contract with the possibility for extension.

Application

Candidates are invited to upload their application, including:

• A one-page motivation letter explaining why they are a strong fit for the position.
• A curriculum vitae with three listed references.

The Max Planck Society is committed to increasing the number of individuals with disabilities in its workforce and encourages applications from qualified individuals. The society strives for gender equality and diversity and specifically encourages women to apply for roles where they are underrepresented.

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