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ZL
On-siteIntern

Internship - Neurotechnology, Neuroscience, and Machine learning (6 months)

Berlin, Germany
1 opening
Posted 9d ago

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.

Delft, The Netherlands
$2M raised
Seed
NeuroTechnologyAI/MLResearch ToolsWearables

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

Electroencephalography

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