About the Role
Zander Labs is a leader in neuroadaptive technology, pioneering innovative solutions to enhance human-computer interaction.
We are looking for skilled and enthusiastic students or individuals at the beginning of their careers who wish to gain experience working at a company that is a frontrunner in neurotechnology. We offer paid internship positions lasting six months, to work on specific assignments (internal projects and graduation projects/theses). The topics address specific challenges of brain-computer interface technology. The internship gives an opportunity to work directly with our senior scientists.
We are committed to building a diverse and inclusive team and welcome applications from candidates of all backgrounds. We especially encourage applications from underrepresented groups in neurotechnology and STEM fields.
Required:
- Currently a student in a relevant field (final-year bachelor’s or master’s student in computer science, electrical engineering, biomedical engineering, or neuroscience).
- Solid programming skills in Python.
- Experience with basic machine learning methods and knowledge of scikit-learn.
- Strong communication skills and fluency in English (written and spoken).
- Enthusiasm, curiosity, and willingness to acquire new skills.
- Ability to work on-site, in our Berlin office.
Desirable:
- Previous experience with EEG data.
- Knowledge of MNE-Python.
- Familiarity with deep learning models.
About Zander Labs
Zander Labs is a German-Dutch deep tech company developing passive brain-computer interfaces and neuroadaptive technology. Its platform is designed to interpret real-time insights into mental states, enabling human-compatible AI and more responsive computer interactions across industries.
Why Join
- Focuses on passive, non-invasive brain-computer interfaces that provide real-time insights into human mental states.
- Combines neurotechnology, biosignal analysis and AI to develop systems that understand and adapt to users.
- Built around a research-driven team of scientists, neuroengineers, data analysts and AI specialists, including numerous PhDs.
- Emphasizes privacy, security, transparency, ethics and scientific rigor in the development of cognitive technologies.
Skills & Tech
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