R&D Engineer - Stochastic & Physiological Signal Modeling
Location: Berlin
Full time (40h/week)
Vision being the dominant human sense, eye tracking constitutes a powerful approach for understanding the human mind! At Pupil Labs, our mission is to provide cutting-edge eye-tracking solutions, which are more robust, accurate, accessible, and user-friendly than ever before. Already today, our products empower thousands of users in academia and industry, clinical surgeons, elite athletes, astronauts on the International Space Station, and many more. Unlocking the full potential of eye-tracking technology relies on solving hard research problems, ranging from core gaze-estimation algorithms to developing cloud-based algorithmic tools allowing for the high-level analysis of terabytes of egocentric video data.
The interdisciplinary R&D team at Pupil Labs, comprising members with backgrounds in Computer Science, Computational Neuroscience, Mathematics, and Physics, is tackling these challenges head-on! In close collaboration with other engineering teams, we identify promising R&D avenues and take pride in seeing our results swiftly integrated into the latest products shipped to our customers.
To support our efforts, we are looking to grow our R&D team in Berlin with a full-time R&D Engineer with a strong background in stochastic modeling, nonlinear dynamics, and signal processing for physiological data. This is an on-site position (with up to two home-office days per week).
Pupil Labs offers a competitive salary, flexible work arrangements, a great team of coworkers, a young and dynamic company structure, and a culture of participation and feedback.
You are excited about joining an ambitious, international, diverse, interdisciplinary, young, enthusiastic, and talented team of researchers and software specialists? You have a growth mindset, thrive in fast-paced work environments, and enjoy working on hard problems? Then we are looking forward to hearing from you!
What you would do
Combine techniques from biophysics, stochastic dynamics, and state-space modeling to develop realistic, data-driven models of pupil light response (PLR) and other physiological signals.
Analyze real-world physiological signals, extracting meaningful features through signal processing and dynamical systems approaches.
Work at the interface of mathematical modeling, experimental data analysis, and algorithm development.
Collaborate with our research and engineering teams to integrate your models into production-level eye-tracking applications.
Handle experimental datasets, including preprocessing, feature extraction, and model validation using real-world signals.
Who you are
You hold a PhD degree in physics, applied mathematics, computational neuroscience, biomedical engineering, control theory, or a related field OR have equivalent industry experience.
You have strong expertise in stochastic modeling, nonlinear dynamics, and signal processing.
You are comfortable working with real-world, noisy physiological signals and have experience in state-space models, time-series analysis, or probabilistic inference.
You are proficient in Python and familiar with numerical libraries such as NumPy, SciPy, JAX, PyTorch, or TensorFlow.
Ideally, you have experience with Bayesian methods, dynamical system inference, or SDE-based modeling.
You are self-motivated, excited about tackling complex modeling challenges, and thrive in an interdisciplinary environment.
You are comfortable in written and spoken English.
Perks
A beautiful office in the heart of Berlin.
Up to two home-office days per week.
15 mobile-office days per year.
Continued learning and professional development (we will sponsor you to attend relevant scientific/developer conferences).
Flexible working hours.
Publishing of scientific articles.
6 weeks of holidays per year.
Apply
Please submit your application here.
Vision being the dominant human sense, eye tracking constitutes a powerful approach for understanding the human mind! At Pupil Labs, our mission is to provide cutting-edge eye-tracking solutions, which are more robust, accurate, accessible, and user-friendly than ever before. Already today, our products empower thousands of users in academia and industry, clinical surgeons, elite athletes, astronauts on the International Space Station, and many more. Unlocking the full potential of eye-tracking technology relies on solving hard research problems, ranging from core gaze-estimation algorithms to developing cloud-based algorithmic tools allowing for the high-level analysis of terabytes of egocentric video data.
The interdisciplinary R&D team at Pupil Labs, comprising members with backgrounds in Computer Science, Computational Neuroscience, Mathematics, and Physics, is tackling these challenges head-on! In close collaboration with other engineering teams, we identify promising R&D avenues and take pride in seeing our results swiftly integrated into the latest products shipped to our customers.
To support our efforts, we are looking to grow our R&D team in Berlin with a full-time R&D Engineer with a strong background in stochastic modeling, nonlinear dynamics, and signal processing for physiological data. This is an on-site position (with up to two home-office days per week).
Pupil Labs offers a competitive salary, flexible work arrangements, a great team of coworkers, a young and dynamic company structure, and a culture of participation and feedback.
You are excited about joining an ambitious, international, diverse, interdisciplinary, young, enthusiastic, and talented team of researchers and software specialists? You have a growth mindset, thrive in fast-paced work environments, and enjoy working on hard problems? Then we are looking forward to hearing from you!
What you would do
Combine techniques from biophysics, stochastic dynamics, and state-space modeling to develop realistic, data-driven models of pupil light response (PLR) and other physiological signals.
Analyze real-world physiological signals, extracting meaningful features through signal processing and dynamical systems approaches.
Work at the interface of mathematical modeling, experimental data analysis, and algorithm development.
Collaborate with our research and engineering teams to integrate your models into production-level eye-tracking applications.
Handle experimental datasets, including preprocessing, feature extraction, and model validation using real-world signals.
Who you are
You hold a PhD degree in physics, applied mathematics, computational neuroscience, biomedical engineering, control theory, or a related field OR have equivalent industry experience.
You have strong expertise in stochastic modeling, nonlinear dynamics, and signal processing.
You are comfortable working with real-world, noisy physiological signals and have experience in state-space models, time-series analysis, or probabilistic inference.
You are proficient in Python and familiar with numerical libraries such as NumPy, SciPy, JAX, PyTorch, or TensorFlow.
Ideally, you have experience with Bayesian methods, dynamical system inference, or SDE-based modeling.
You are self-motivated, excited about tackling complex modeling challenges, and thrive in an interdisciplinary environment.
You are comfortable in written and spoken English.
Perks
A beautiful office in the heart of Berlin.
Up to two home-office days per week.
15 mobile-office days per year.
Continued learning and professional development (we will sponsor you to attend relevant scientific/developer conferences).
Flexible working hours.
Publishing of scientific articles.
6 weeks of holidays per year.
Apply
Please submit your application here.
Vision being the dominant human sense, eye tracking constitutes a powerful approach for understanding the human mind! At Pupil Labs, our mission is to provide cutting-edge eye-tracking solutions, which are more robust, accurate, accessible, and user-friendly than ever before. Already today, our products empower thousands of users in academia and industry, clinical surgeons, elite athletes, astronauts on the International Space Station, and many more. Unlocking the full potential of eye-tracking technology relies on solving hard research problems, ranging from core gaze-estimation algorithms to developing cloud-based algorithmic tools allowing for the high-level analysis of terabytes of egocentric video data.
The interdisciplinary R&D team at Pupil Labs, comprising members with backgrounds in Computer Science, Computational Neuroscience, Mathematics, and Physics, is tackling these challenges head-on! In close collaboration with other engineering teams, we identify promising R&D avenues and take pride in seeing our results swiftly integrated into the latest products shipped to our customers.
To support our efforts, we are looking to grow our R&D team in Berlin with a full-time R&D Engineer with a strong background in stochastic modeling, nonlinear dynamics, and signal processing for physiological data. This is an on-site position (with up to two home-office days per week).
Pupil Labs offers a competitive salary, flexible work arrangements, a great team of coworkers, a young and dynamic company structure, and a culture of participation and feedback.
You are excited about joining an ambitious, international, diverse, interdisciplinary, young, enthusiastic, and talented team of researchers and software specialists? You have a growth mindset, thrive in fast-paced work environments, and enjoy working on hard problems? Then we are looking forward to hearing from you!
What you would do
Combine techniques from biophysics, stochastic dynamics, and state-space modeling to develop realistic, data-driven models of pupil light response (PLR) and other physiological signals.
Analyze real-world physiological signals, extracting meaningful features through signal processing and dynamical systems approaches.
Work at the interface of mathematical modeling, experimental data analysis, and algorithm development.
Collaborate with our research and engineering teams to integrate your models into production-level eye-tracking applications.
Handle experimental datasets, including preprocessing, feature extraction, and model validation using real-world signals.
Who you are
You hold a PhD degree in physics, applied mathematics, computational neuroscience, biomedical engineering, control theory, or a related field OR have equivalent industry experience.
You have strong expertise in stochastic modeling, nonlinear dynamics, and signal processing.
You are comfortable working with real-world, noisy physiological signals and have experience in state-space models, time-series analysis, or probabilistic inference.
You are proficient in Python and familiar with numerical libraries such as NumPy, SciPy, JAX, PyTorch, or TensorFlow.
Ideally, you have experience with Bayesian methods, dynamical system inference, or SDE-based modeling.
You are self-motivated, excited about tackling complex modeling challenges, and thrive in an interdisciplinary environment.
You are comfortable in written and spoken English.
Perks
A beautiful office in the heart of Berlin.
Up to two home-office days per week.
15 mobile-office days per year.
Continued learning and professional development (we will sponsor you to attend relevant scientific/developer conferences).
Flexible working hours.
Publishing of scientific articles.
6 weeks of holidays per year.
Apply
Please submit your application here.