Location:
Bremen, Germany
Constructor Knowledge Labs (CKL), Bremen, Germany
In collaboration with Constructor University and Constructor Technology
Duration:
Flexible; starting date as soon as possible
About the Position
Constructor Knowledge Labs (CKL) invites applications for a research-oriented internship. This project focuses on building an internal, scalable system that continuously discovers funding opportunities, structures and evaluates them, and supports strategic decision-making through data-driven insights.
The internship will contribute to the development of a multi-stage pipeline that integrates data collection, information extraction, profile matching, and analytical modeling. A key research direction includes exploring predictive approaches to estimate the probability of success (“Probability of Win”) for grant applications.
The role provides hands-on exposure to real-world challenges in information retrieval, data structuring, decision-support systems, and applied machine learning within a research-driven environment.
Main Responsibilities
Assist in the development of automated pipelines for discovering grant opportunities from multiple sources.
Support parsing, cleaning, and structuring of unstructured grant texts into standardized formats.
Contribute to building and maintaining institutional and researcher profile datasets.
Help design and implement scoring mechanisms (e.g., Fit Score).
Participate in exploratory data analysis and prototyping of analytical components.
Support development of dashboards, reporting tools, or notification systems.
Conduct literature reviews on relevant topics.
Assist in exploration of predictive models for estimating grant success probability.
Document workflows and experimental findings.
Requirements
Currently enrolled in a Bachelor’s or Master’s programme in a relevant field;
Basic programming skills (e.g., Python).
Understanding of data analysis, statistics, or machine learning concepts.
Interest in data-driven systems and automation.
Strong analytical thinking.
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:
CV
Motivation letter (max. 1 page)
Transcript of records (GPA obligatory)
Deadline: 30 August 2026, 23:59 CET