Dear Multilingual DH community,
We are happy to announce the opening of a new job as research software engineer at our new Methods Innovation Lab at Humboldt-Universität zu Berlin. As part of NFDI 4Memory, we will evaluate and adapt cutting-edge computational methods for their application to historical research. This is a limited-term contract of initially four years. Possible extensions depend on continued project funding. We have kept requirements, minimal experiences, and the job profile as open and flexible as possible to fit a wide array of possible candidates and are happy to answer any questions. Please do not hesitate to contact me via till.grallert(a)hu-berlin.de <mailto:[email protected]>. Applications close on 25. October.
I have attached the full job description below. The official announcement has been published on the HU website in German <https://haushalt-und-personal.hu-berlin.de/de/personal/stellenausschreibung…> and English <https://haushalt-und-personal.hu-berlin.de/de/personal/stellenausschreibung…>.
All the best,
Till
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Till Grallert, PhD
https://orcid.org/0000-0002-5739-8094
Methods Innovation Lab
NFDI 4Memory
Institut für Geschichtswissenschaften
Philosophische Fakultät
Humboldt-Universität zu Berlin
Unter den Linden 6
10099 Berlin
email: till.grallert(a)hu-berlin.de
mastodon: @[email protected] <mailto:[email protected]>
Job offer
Philosophische Fakultät - Institut für Geschichtswissenschaften
Research Associate (Wissenschaftlicher Mitarbeiterin) for Research Software Engineering (f/m/d), full time, E 13 TV-L HU compensation scheme (grant-funded, limited-term contract until 29 February 2028). Deadline for applications is 25 October 2023.
NFDI 4Memory <https://4memory.de/> is one of 27 interdisciplinary German consortia that jointly manage the creation of a long-term and sustainable national research-data infrastructure (Nationale Forschungsdateninfrastruktur, or “NFDI”) for the digital age. Our shared goal is to make research data systematically accessible, linked, interoperable, and, ultimately, (re-)usable in a sustainable and qualitative manner for scientific and scholarly communities in Germany and beyond. 4Memory brings together more than 80 partners from universities and research institutes to cultural heritage and memory institutions and infrastructure facilities, united by a common set of interests, needs, and aims related to the distinct challenges faced by disciplines employing historical methods or relying on data that require historical contextualization.
Within the framework of 4Memory, Humboldt-Universität zu Berlin and the Verband der Historiker und Historikerinnen Deutschlands (VHD) jointly lead Task Area 5 “Data Culture”. This Task Area aims at advancing the discourse on digital research data and computational methods in the field of history and, more broadly, the historically inclined humanities. We also explore the significance of datafication for our contemporary societies’ history-making, such as, for example, the current developments in the fields of machine learning and generative AI. Ultimately, we will contribute to the establishment of a strong data culture in our scholarly domain.
We are looking for someone to join our team as a Research Software Engineer for TA5’s Methods Innovation Lab and Clio-online <http://www.clio-online.de/>, who wants to be actively and collaboratively involved in shaping the processes of datafication in the historical humanities at this exciting time.
The position is limited until 29 February 2028.
Your tasks
Development of prototypical software solutions in the field of historically working digital humanities in close collaboration with domain experts involved in the project
Participation in the publication of our results and methods for scholarly audiences with innovative formats, such as data stories or Jupyter notebooks
Participation in the development of the publication platforms of Clio-online <http://www.clio-online.de/> / H-Soz-Kult <https://www.hsozkult.de/>
Our expectations
We are looking for a dedicated personality with an independent, solution-oriented work style, very good conceptual skills, and a strong team-working ethos. You will also have good communicative skills and fit the following profile:
University degree (graduate degree, such as MSc, MA, etc.) and potentially a doctorate in computer science, history, computational linguistics or related subjects
Solid knowledge of current web technologies
Solid knowledge of Python
Willingness to engage in interdisciplinary exchange and work environments (e.g. between computer science and the humanities and social sciences)
Very good command of either German or English, both written and spoken, and at least basic knowledge of the other language (Level B1), or the willingness to acquire such knowledge within two years of taking up the position
Experience and knowledge in the following fields is not strictly required but would be considered a boon (and can be acquired on the job):
modern research software engineering (RSE), including modularity, reproducibility and reusability
implementing collaborative software development with external contractors
current methods and technologies in at least one of the following areas: automatic text analysis/NLP, computer vision, machine learning
other high-level programming languages, such as Java
Our offer
Innovative work with the opportunity to contribute and implement your own ideas
A friendly and open team with a modern working culture
Very dynamic and innovative environment for the Digital Humanities
Opportunity for your own academic advancement (doctoral or postdoctoral research)
Possibility of part time (min. 50 per cent) or full time work
Flexible working hours
Possibility of remote work (individually tailored solutions are possible but not fully remote work)
An excellent and internationally well-recognised university in the heart of Berlin as an employer
Advantages of working in the public sector, such as an attractive company pension scheme (VBL), and a subsidized job ticket / Deutschlandticket for public transport.
Please send your application in German or in English (including cover letter, a complete curriculum vitae and copies of relevant certificates and documents) together with a short outline of relevant projects in the field of research software engineering that you may have already supervised or participated in (1-2 pages) quoting the reference number DR/087/23 to Humboldt-Universität zu Berlin, Philosophische Fakultät, Institut für Geschichtswissenschaften, Prof. Dr. Torsten Hiltmann, Unter den Linden 6, 10099 Berlin or in electronic form as a single PDF file to digitalhistory(a)hu-berlin.de <mailto:[email protected]> until 25 October 2023.
The Humboldt-Universität zu Berlin is seeking to increase the proportion of women in research and teaching, and specifically encourages qualified female scholars to apply. Severely disabled applicants with equivalent qualifications will be given preferential consideration. People with an immigration background are specifically encouraged to apply. Since we will not return your documents, please submit copies in the application only.
Data protection information on the processing of your personal data within the
framework of the advertisement and selection procedure can be found on our Website: https://hu.berlin/DSGVO.
Please visit our website www.hu-berlin.de/stellenangebote <https://haushalt-und-personal.hu-berlin.de/de/personal/stellenausschreibung…>, which gives you access to the legally binding German version.
