Scientific software developer (m/f/d) for the research-based development of semi-automated information assistants
Description
ZBW - Leibniz Information Centre for Economics (www.zbw.eu) is a research-based information infrastructure for economics and is a member of the Leibniz Association. The institution is one of the largest of its kind in the world and accommodates more than 4 million media units. It also provides access to approximately 2.2 million digital full texts. The ZBW is scientifically affiliated to the university of Kiel, Cristian Albrecht University (CAU).
The ZBW conducts its own application-oriented research in computer science and information sciences with a focus on Open Science. It has its own department for software development, which carries out application-oriented and partly research-driven software development in the field of information systems and digital libraries. Its range of services includes the conception, development and support of classical library applications such as repositories and subject portals, of infrastructures for metadata management or long-term archiving, and finally of data infrastructures and applications for the Semantic Web. Our portfolio also includes the provision of research and publishing platforms, such as the EconBiz subject portal or the EconStor Open Access publication server.
At our Kiel or Hamburg location, we are looking for you to join our "Innovative Information Systems and Publishing Technologies" department at the earliest opportunity, but at the latest on October 1st, as
Scientific software developer (m/f/d)
for the research-based development of semi-automated information assistants.
Salary is based on EG 13 TV-L (full-time, currently 38.7 hours/week). According to § 2 of the federal law of Wissenschaftszeitvertragsgesetz (WissZeitVG), the position is initially limited for a period of four years and offers the possibility of gaining a doctorate degree in one of the fields mentioned below.
Your tasks...
- Conception, software development and testing of semi-automated information services with the help of existing knowledge bases as well as AI-based chatbots and language assistants.
- Data protection compliant integration with Smartphone and Smarthome applications, which should help to integrate https://econbiz.eu as an economic information platform into the everyday environments of our users.
- Development and testing of recommender systems on the basis of (anonymised) user profiles, content relations or related search queries.
- Although the planned developments will be partly experimental in character, the link back to the information systems of the ZBW has to be guaranteed at all times.
Your profile...
- a university degree, i.e. a Master's (Uni or FH) or Diploma (Uni) degree in computer science, information technology or a related technical discipline with a focus on software development,
- knowledge, experience or proven interests in chatbot architectures or at least one corresponding technology (text/speech recognition, NLP, ML/DL, knowledge databases, Q&A databases),
- ability to work in a team and to cooperate, and above all the communicative, interdisciplinary and intercultural competence as well as the willingness to engage with various participants and interest groups,
- good knowledge of written and spoken German or fluent speaking and writing in English.
Even better, but not mandatory, if you have…
- knowledge of chatbot and/or virtual assistant applications and pilots in a library’s context,
- knowledge and experience in developing recommender systems,
- basic understanding of library applications and library information systems, as well as of workflows in a scientific library,
- experience in software management and in the continuous integration of new or further developed components into operation, as well as in the automatization of build and deployment processes for updates,
- experience in collaborative software development and source code management, e.g. git-based; experience in software documentation,
- basic interest in data protection, privacy issues and information rights,
- willingness to report continuously on development work and results in suitable media or at community events such as workshops or conferences.
The readiness for occasional daily business trips to / from the other ZBW location and for business trips in general is expected.
What we offer...
- exciting opportunities in a dynamic and innovative environment in which cross-departmental teamwork, transparency, open innovation processes and continuous further training are indispensable,
- old-age provision for the public sector (VBL)
- a job at the firth of Kiel or at the inner Alster of Hamburg
- part-time employment (upon request)
- equal opportunities and reconciliation of work and family life.
Are you interested in joining the team? Then take the next step now and apply online (identification number D1-03).
Do you have any questions with regard to the position? Then please contact Dr. Timo Borst (t.borst@zbw.eu, phone: (+49) (0)173-6093801).
ZBW Leibniz Information Center for Economics endeavours to increase the proportion of women in this field and therefore urges women with the appropriate qualifications to apply. Women are given priority if they are equally qualified, qualified and professional perform.
Diversity is one of our core organizational values. We therefore welcome applications regardless of nationality, ethnic or social origin, religion or belief, age, sexual orientation or identity.
The ZBW is committed to the employment of people with disabilities. Severely handicapped persons and persons of equal status are given preferential treatment if they are suitably qualified.
Please send us your application with the relevant documents online by 05 June .2020. Please do not submit a photo with your application.
We look forward to meeting you!
In the light of the current pandemic situation and to protect all of us, our job interviews will be held remotely via video conferencing.
Apply now: https://bewerbungen.zbw-kiel.de/?identifier=D1-03&language=EN
How to apply
Metadata
Published: Friday, May 15, 2020 00:54 UTC
Last updated: Friday, May 15, 2020 00:54 UTC