Research assistant / computer scientist (f/m/d)

Hochschule Bremen; Bremen; Vor Ort; EUR 40.000 - 55.000; Teilzeit

Zusammenfassung

A leading university in Bremen seeks a Research Assistant/Computer Scientist for the 'Lector4Teachers' project. The role involves developing deep learning approaches for text recognition, preparing datasets, and creating a mobile application. Join a dynamic team focused on innovative solutions for education.

Leistungen

Flexible working time models

Company pension scheme

Numerous sports and cultural activities

Diverse opportunities for personal and professional development

Subsidized job ticket

Varied catering options

Subsidized fitness

Qualifikationen

• University diploma/master's degree in computer science required.
• Experience in deep machine learning and mobile app development preferred.

Aufgaben

• Design and develop deep learning approaches for text recognition.
• Prepare data sets for training and evaluation.
• Develop a mobile application utilizing deep learning approaches.

Kenntnisse

Analytical thinking

Independence

Programming

Deep machine learning

English

Ausbildung

University diploma/master's degree in computer science

Tools

Python

TensorFlow

scikit-learn

Flutter

Swift

Jobbeschreibung

The Bremen University of Applied Sciences has a vacancy at the earliest possible date for a

Research assistant / computer scientist (f/m/d) in the research project

"Lector4Teachers"

Reference number: FK4-8-2025, remuneration group 13 TV-L

with full weekly working hours (39.2 hours), limited until 31.05.2026. The position is suitable for part-time work.

Bremen University of Applied Sciences is open to the world and promotes science for practice. With around 70 predominantly international degree programs and innovative, lifelong forms of study, Bremen University of Applied Sciences offers almost 9,000 students prospects for their personal development and a successful career start. With our international profile, we have held a leading position among universities of applied sciences for decades. The improvement of study conditions and the attractive design of workplaces are of particular concern to us and are reflected in the university's development planning.

As part of the innovation sprints of the BMBF's DATIpilot funding program, Bremen University of Applied Sciences is participating in the project

"Lector4Teachers". The aim of this project is to relieve teachers of recurring, everyday administrative tasks by actively supporting the manual comparison of handwritten lists and documents through AI-based text recognition and extraction for teachers' mobile devices. To this end, HSB is developing and evaluating the necessary deep learning approaches for the use case and integrating them into a mobile application. We are looking for you for this innovative project!

YOUR AREA OF RESPONSIBILITY

• Design and develop deep learning approaches for text recognition and extraction based on current research in collaboration with the Lector4Teachers project team.
• Prepare the necessary data sets for training and evaluation.
• Develop a mobile application to utilize the developed deep learning approaches.
• Publish research results in specialist journals and present them at conferences and in regional science communication.

YOUR PROFILE

• University diploma/master's degree in a suitable subject area, ideally in computer science.
• Ability to work independently and autonomously in research.
• Analytical thinking and interdisciplinary approach.
• Proficiency in programming languages and frameworks for deep machine learning (e.g., Python, TensorFlow, scikit-learn).
• Desirable: Experience in deep machine learning (e.g., Python, TensorFlow).
• Desirable: Experience in developing mobile applications (e.g., Flutter, Swift).
• Good knowledge of English.

OUR OFFER

• An interesting and varied job in an international environment at a cosmopolitan university.
• Equal pay, secure employment, and other public sector benefits.
• Flexible working time models for a good work-life balance.
• Company pension scheme (VBL).
• Numerous sports and cultural activities.
• Diverse opportunities for personal and professional development.
• Attractive locations with good transport links.
• A subsidized job ticket.
• Varied catering options at the student union canteen.
• Subsidized fitness in EGYM Wellpass studios.

For degrees obtained outside the EU, submit a German translation and assessment from ZAB or a PDF excerpt from the ANABIN database. For foreign professional qualifications, submit a German translation and recognition documents. Further info at BIBB. Bremen University of Applied Sciences encourages applications from women, people with disabilities, and those with a migration background. For questions, contact Prof. Dr.-Ing. Patrick Draheim at 0421-5905-5422 or [e-mail]. Applications including documents are due by 05.06.2025 via hs-bremen.de/stellenangebote. Address: Neustadtswall 30, 28199 Bremen.

Additional Information

Requirements for the applicant:

Advanced knowledge: Research

Mandatory: Computer science