(The original German job posting can be found here: https://www.uni-muenster.de/Rektorat/Stellen/ausschreibungen/st_20231205_sk1.html. The German version is the legally binding one.)
The University and State Library (ULB) Münster is the central library of the Westphalian Wilhelms University and at the same time the state library for the state part of Westphalia. It is one of the largest academic libraries in Germany. The ULB Münster offers a comprehensive portfolio of research-related services for scholars, teachers and students, the further development of which is characterized by great development dynamics in the context of the current digital transformation processes in academia.
The Service Center for Digital Humanities (SCDH), located at the ULB Münster, supports researchers at the University of Münster in the field of Digital Humanities (DH) with numerous services. The SCDH has an immediate opening for the permanent position of a
Research Software Engineer
in the context of DH with focus on Machine Learning or Digital Edition
(research assistant, E 13 TV-L)
with 100% of the regular weekly working time of currently 39 hours 50 minutes per week.
- development of open source software solutions for the Digital Humanities at the University of Münster,
- adaptation, customizing and integration of existing software solutions, in particular development of server- and client-side software modules that can be flexibly combined into workflows,
- linking local research infrastructures with (inter)national research infrastructures,
- development and support of externally funded digital research projects, especially in the areas of Machine Learning and/or Digital Edition
We are looking for a dedicated personality with a self-reliant, solution-oriented work style, very good conceptual skills and strong teamwork skills. You are also characterized by flexibility as well as good communication skills and meet the following profile:
- completed university studies in a humanities subject, computer science or related fields or a comparable qualification acquired in practice,
- proven experience in the independent planning and implementation of software development projects,
- proven programming skills in a programming language (e.g. Python),
- proven relation to the Digital Humanities, especially in the focus areas Machine Learning and/or Digital Edition,
- a good command of German and English. [let’s talk about this, if you are not there yet with the German]
In addition, desirable skills include:
- experience in processing, enriching, and transforming large data sets in the context of the Digital Humanities,
- experience with Machine Learning methods (e.g. Word Embeddings, Neural Nets, Deep Learning, Large Language Models) and libraries (e.g. Keras, PyTorch, TensorFlow),
- experience with X technologies (XQuery, XPath, and XSLT) and TEI,
- interest in innovative edition approaches beyond established TEI solutions.
- experience with software development in the context of microservice architectures and continuous integration and continuous delivery (CI/CD) environments,
- experience with software development in the context of the Open Science principles.
- Appreciation, commitment, openness and respect – these are values that are important to us.
- With a large number of different working time models, we enable you to work flexibly – also from home.
- Whether it’s care or childcare – our Family Service Office offers you concrete support to help you balance your private and professional life.
- As an educational institution, your individual, tailor-made training and continuing education is not only important to us, but a matter close to our hearts.
- From Aikido to Zumba – our sports and health offers from A to Z ensure your work-life balance.
- You benefit from numerous public service benefits such as an attractive company pension plan (VBL), a special annual payment and a job that is hardly dependent on economic fluctuations.
The University of Münster supports equal opportunities and diversity. We welcome all applications regardless of gender, nationality, ethnic or social origin, religion or belief, disability, age, and sexual orientation or identity. Family-friendly working conditions are a matter of course for us. Part-time employment is generally possible.
Applications from women are expressly welcome; women will be given preferential consideration in cases of equal suitability, ability and professional performance, unless reasons relating to the person of a competitor prevail.
If you have any questions in advance, please contact Dr. Jan Horstmann (0251-83-25297, email@example.com).
Have we sparked your interest?
Then we look forward to receiving your complete application. Send your application exclusively by e-mail under AZ 2023-9 in German language and in a PDF file of maximum 25 MB size until 16.06.2023 to: