---------- Forwarded message ---------
From: Sack, Harald (AIFB) <harald.s...@kit.edu>
Date: Wed, Sep 4, 2024 at 11:55 PM
Subject: [SIG-IRList] Open Position: PhD or PostDoc in Knowledge Graphs and
Large Language Models at FIZ Karlsruhe
To: <si...@listserv.acm.org>


We are recruiting for the position of a PhD/Junior Researcher or
PostDoc/Senior Researcher (f/m/x) starting at the nearest possible date. We
are looking for an ambitious person who aims for a successful scientific
career in the context of knowledge graph and machine learning related
technologies contributing to the strategic research and technology goals of
FIZ Karlsruhe. More information at
https://www.fiz-karlsruhe.de/en/stellenanzeigen/phdjunior-researcher-oder-postdocsenior-researcher-wmx-0



Job Description:

- Conducting innovative research on FIZ ISE research topics like knowledge
graphs, ontological engineering,natural language processing, deep learning
and large language models, with participation in scientific publications
and other academic activities.

- The co-supervision of master and bachelor theses (for PostDocs also
co-supervision of PhD students).



Qualifications and Skills:

- A very good master's degree (for PostDocs: PhD degree) in computer
science or a comparable discipline.

- Excellent software engineering skills and the ability to develop mature
software components beyond pure research prototypes.

- Excellent written and spoken English, German language skills are an
advantage but are not mandatory.

- Motivation and excitement in dealing with challenging research problems
and in developing convincing solutions as a team.



For PostDocs/Senior Researchers:

- Publications of research results in renowned, peer-reviewed journals and
conferences.

- Experience in applying for funding from national, European and
international funding agencies is highly beneficial, but not mandatory.



Optimally, you have expertise in one or more of the following research
areas:

- Knowledge Graphs and Semantic Web Technologies

- Machine Learning and Deep Learning

- Natural Language Processing



Ontology Design and Ontological Engineering

- The candidate should be highly self-motivated, interested in tackling
challenging research problems, have excellent organizational skills, be
open minded, and have scientific leadership potential.



We offer:

- Flexible working time models and mobile working/home office – you are
required to spend only 20 % of your monthly working time in the office
(although we have very good coffee at FIZ Karlsruhe and are happy about
exchange within the team, so attendance is always

welcome).

- With us, you will get the chance to work in a diverse team [2] with
colleagues that are more than happy to welcome new team members of all
backgrounds, genders and ages.

- Because our team is not only based at FIZ Karlsruhe [1], but also at KIT
[4], we offer you the opportunity to gain experience in teaching and to
engage in discourse with students at KIT, either in person or through our
online formats [5].

- In addition, we offer a productive and a constantly developing research
and working environment and actively support you in your further scientific
endeavors.

- The salary is based on the collective labor agreement for the public
service in Germany (TVöD VKA) and in addition, you will receive the company
pension plan with the VBL.

- Furthermore, we are certified by the audit berufundfamilie [6], which
guarantees the compatibility of family and career.

- If you wish to combine work, sport, and sustainability, our institute
also offers company bike leasing [7] options.



Excellent candidates are invited to apply at bewerb...@fiz-karlsruhe.de
with:

1) detailed curriculum vitae

2) copies of degree certificates & transcripts

3) publication record or writing samples from your thesis

4) letters of recommendation (preferably at least two)

5) a letter of motivation covering your research goals



More information about us:

Information Service Engineering (ISE) [3] at FIZ Karlsruhe, led by Prof.
Dr. Harald Sack [8] who is also heading the KIT research group of the same
name [9], investigates models and methods for efficient semantic indexing,
aggregation, linking and retrieval of comprehensive heterogeneous and
distributed data sources. To this end, both statistical and linguistic
analysis methods (NLP) as well as machine learning in combination with
symbolic logic are applied. ISE research relies and extends on knowledge
representation standards developed for the Semantic Web. ISE research
application areas include, but are not limited to, solutions for knowledge
extraction, semantic annotation, semantic and exploratory search, as well
as recommender systems and question answering. Besides basic methodological
research, domains of applied ISE research are, amongst others, cultural
heritage, digital humanities, materials science, and research data
management.



FIZ Karlsruhe – Leibniz Institute for Information Infrastructure is one of
the leading providers of scientific information and services and a member
of the Leibniz Association. Our core tasks are the professional provision
of research and patent information to science and industry as well as the
development of innovative information infrastructures, e.g., with a focus
on research data management, knowledge graphs and digital platforms. To
this end, we conduct our own research, cooperate with renowned universities
and research societies, and are internationally and interdisciplinarily
networked. FIZ Karlsruhe is a limited liability company with a non-profit
character and one of the largest non-university institutions of its kind.



We welcome applications from driven individuals seeking a successful
scientific career in the context of knowledge graphs



Links:

[1] https://www.fiz-karlsruhe.de/

[2]
https://cdn.masto.host/sigmoidsocial/media_attachments/files/109/399/653/400/469/484/original/03f89905f617c82e.jpg

[3]
https://www.fiz-karlsruhe.de/en/forschung/information-service-engineering

[4] https://www.kit.edu/english/index.php

[5] https://www.youtube.com/c/ISEFIZKarlsruhe

[6] https://berufundfamilie.de/english-info

[7]
https://vm.baden-wuerttemberg.de/de/politik-zukunft/nachhaltige-mobilitaet/mobilitaetsmanagement/jobbike-bw

[8] https://sigmoid.social/@lysander07

[9] https://ise.aifb.kit.edu/index.php




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