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Internship
bachelor degree, postgraduate degree
International Interdisciplinary Research Environment, Mentoring By Leading PIs And Senior Researchers, Opportunity To Contribute To Academic Publications, Flexible Working Arrangements
Posted 72d ago
~40 hrs/week
Responsibilities
Assist in the preprocessing of physiological and behavioral data from wearable devices to support cognitive inference models. Contribute to experimental protocols, analytical pipelines, and the documentation of research results.
Requirements
Candidates must be currently enrolled in a Bachelor's or Master's program in Cognitive Science, Computer Science, AI, Data Science, or a related field. Basic programming skills in Python and a general awareness of machine learning or signal processing are required.
Full job description
Constructor Knowledge Labs (CKL), Bremen, Germany
In collaboration with Constructor University and Constructor Technology
Duration: Flexible; a summer start is expected, with the possibility of an earlier start by mutual agreement.
About the Position
Constructor Knowledge Labs (CKL) invites applications for a research internship embedded within the Human-AI Fusion & Cognitive Wearable Intelligence project. This project explores computational modeling of multimodal physiological and behavioral data, integration of cognitive and affective state inference with wearable technologies, and foundational aspects of adaptive human-AI collaboration.
The internship supports ongoing research by assisting in data processing, experiment preparation, model analysis, and evaluation workflows that underpin cognitive inference models and multimodal data fusion. Work will be supervised by senior researchers involved in interdisciplinary research spanning cognitive neuroscience, computational modeling, and AI-driven data analysis.
The role is designed to provide exposure to experimental design, multimodal data integration, and prototype analysis within an active scientific research environment.
Main responsibilities:
Assist in the preparation and preprocessing of physiological, behavioral, and contextual data collected from wearable devices for research analysis.
Support exploratory data analysis and basic modelling tasks to link multimodal signals with cognitive or affective state indicators.
Help in setting up experimental protocols, data collection pipelines, and quality control procedures under guidance.
Contribute to implementation and evaluation of basic analytical pipelines or prototype components (e.g., signals processing, feature extraction scripts).
Conduct literature reviews on relevant research themes such as multimodal data fusion, cognitive modeling, or wearable AI inference.
Document methods, preliminary results, and routine analyses in internal notes or reports.
Requirements:
Currently enrolled in a Bachelor’s or Master’s programme in Cognitive Science, Psychology, Computer Science, Artificial Intelligence, Data Science, or a closely related field.
Basic programming skills (e.g., Python) and familiarity with data processing workflows.
General awareness of machine learning, statistical analysis, or signal processing concepts.
Interest in multimodal data analysis, wearable technologies, or human-AI interaction.
Strong analytical thinking and ability to engage with interdisciplinary research tasks.
Good written and spoken English.
We offer
Research internship with flexible duration in an international, interdisciplinary research environment.
Participation in active research projects at the intersection of AI, knowledge systems, and applied research, with a clearly scoped internship-level contribution.
Close supervision and mentoring by leading PIs and senior researchers, whose work shapes current research agendas and attracts significant scholarly attention and citations.
Opportunity to contribute to academic publications, embedded in established research groups with consistent presence at top-tier conferences and journals.
Flexible working arrangements, including hybrid or remote options.
Application details
Please submit the following documents in English:
CV
Short motivation letter (max. 1 page) explaining your interest and relevant skills
Transcript of records (GPA obligatory)
Deadline for full consideration: 20 March 2026, 23:59 CET.
Related keywords
Human-AI FusionCognitive Wearable IntelligenceMultimodal Data FusionCognitive NeuroscienceComputational ModelingAI-Driven Data AnalysisPhysiological DataBehavioral DataAffective State InferenceWearable TechnologiesPythonMachine LearningSignal ProcessingFeature ExtractionExperimental Design
At the Constructor Knowledge Labs (C>KL), we are committed to advancing applied research in Computer Science, Software Engineering, Machine Learning, and Artificial Intelligence. Based in Bremen, Germany, our mission is to drive innovation by applying cutting-edge methodologies and models to interdisciplinary domains such as Robotics, the Metaverse, Neurosciences, Neuropsychology, Education, and Life Sciences.
Through a close partnership with Constructor University, C>KL fosters collaborative research, offering a vibrant and innovative environment for researchers and joint PhD students. Together, we aim to make a meaningful impact by addressing real-world challenges through applied research and technological advancements.
How many Technology jobs are open in Bremen, Germany right now?
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