Sobre esta vaga de Internship Position: Grant Intelligence Pipeline & Research Opportunity Modeling na Constructor Knowledge Labs

Constructor Knowledge Labs · Presencial · Bremen, Germany

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 in Constructor University.
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 April 2026, 23:59 CET

Pronto para se candidatar à Constructor Knowledge Labs?

Candidatar-se à Constructor Knowledge Labs

Sobre a Constructor Knowledge Labs

At the Constructor Knowledge Labs (CKL), 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, CKL 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.