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Open positions at Semantic Computing Group, Bielefeld University

From: Philipp Cimiano <cimiano@cit-ec.uni-bielefeld.de>
Date: Wed, 30 Sep 2020 08:48:29 +0200
To: "semantic-web@w3.org" <semantic-web@w3.org>
Message-ID: <0af54d7a-3f33-19ba-450d-ddeab1fd4494@cit-ec.uni-bielefeld.de>
The Semantic Computing Group [1] at Bielefeld University has four open 
positions:

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Position 1 (Semantic Analysis and Integration of clinical data, 
Application Code: 20209)

Description of Position:

The successful candidate will work on the KINBIOTICS project that is 
funded by the Ministry of Health in Germany. The goal of the project is 
to develop novel artificial intelligence methods that support clinicians 
in decision making, in particular for the prediction of effectiveness 
and safety of antibiotic therapies. The focus of this position is to 
support integration of clinical data into a clinical knowlede graph.

Research topics include:

Development of methods for semantic integration of data into clinical 
knowledge graphs
Implementation of novel analysis and visualizations on top of clinical 
knowledge graphs
Implementation of intuitive query mechanisms and interfaces supporting 
clinicians in accessing the clinical knowledge graph
Development of approaches for mapping of existing clinical datasets to 
existing medical/clinical semantic vocabularies for the purpose of 
semantic normalization

Requirements:
Master’s Degree or equivalent in computer science, bioinformatics, 
medical informatics, data science or related
Experience in working with data and databases
Potential for scientific work
Strong analytical and conceptual skills
Communicative skills
Efficient and organized way of working
Experience with semantic technologies and data integration (desirable)
Experience with developing web applications (desirable)

Duration: 3 years with possible extension, depending on available funds

Deadline of Application: 21st of October 2020

Job Announcement (in German): 
https://www.uni-bielefeld.de/uni/karriere/stellen-wiss/wiss20209.pdf

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Position 2 (AI-based models for clinical decision support, Application 
Code: 20210)


The successful candidate will work in the KINBIOTICS project funded by 
the Ministry of Health in Germany. The project has the goal to develop 
new AI-based decision support models that help clinicians in selecting 
the most appropriate and effective antibiotic therapy for patients 
suffering from a sepsis.

Research topics include:
Development of AI-based decision support models that predict 
effectiveness and efficacy of therapies
Development of benchmarks and evaluation protocols to evaluate the 
decision support systems
Development and implementation of a decision support system architecture 
on the basis of the clinical data (see Position 1)
Evaluation of the decision support functionality on the developed benchmarks

The successful candidate will ideally be a postdoc that can support the 
coordinator in the day-to-day coordination of the project. The position 
can also be granted to a pre-doc candidate.

Requirements:
Master’s Degree or equivalent in computer science, bioinformatics, 
medical informatics, data science or related
Experience in working with data and databases
Potential for scientific work
Strong analytical and conceptual skills
Communicative skills
Efficient and organized way of working
PhD in a relevant field (desirable)
Experience with machine learning (desirable)
Experience with the design and implementation of decision support 
systems (desirable)

Duration: 3 years with possible extension, depending on available funds

Deadline of Application: 21st of October 2020

Job Announcement (in German): 
https://www.uni-bielefeld.de/uni/karriere/stellen-wiss/wiss20210.pdf

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Position 3 (Semantic Computing in Digital Humanities, Application Code 
20213)


The successful candidate will work together with researchers at the 
department of history at Bielefeld University with the goal of 
developing new semantic technology methods that support historians 
working with corpora of historical interest. The focus of the project is 
on extracting and representing events in a temporally anchored way to 
support temporal reasoning over the data.

Research topics include:

Development of natural language processing methods that can extract and 
temporally anchor events from datasets relevant for history research
Development of formalisms, vocabularies, and representation languages to 
represent the temporal information associated to these events
Implementation of temporal reasoning mechanisms on the basis of the 
extracted event database
Development of methods for constructing event-centric knowledge graphs 
from unstructured data

The successful candidate will ideally be a postdoc with a PhD in a 
relevant field.

Requirements:
Master’s Degree or equivalent in computer science, bioinformatics, 
medical informatics, data science or related
Experience in working with data and databases
Potential for scientific work
Strong analytical and conceptual skills
Communicative skills
Efficient and organized way of working
PhD in a relevant field (desirable)
Experience with semantic technologies (desirable)
Experience with research projects in the field of digital humanities 
(desirable)

Duration: 3 years with possible extension, depending on available funds

Deadline of Application: 4th of November 2020

Job Announcement (in German): 
https://www.uni-bielefeld.de/uni/karriere/stellen-wiss/wiss20213.pdf

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Position 4 (Semantic Technologies and Machine Learning, Application 
Code: 20214)

The successful candidate will work in the DiProMag project funded by the 
Federal Ministry of Education and Research in Germany. DiProMag is an 
interdisciplinary project at the interface between materials research 
and computer science. With the magnetocaloric materials considered in 
this project, technical innovations are to be achieved that contribute 
to energy-saving and environmentally friendly refrigeration. Together 
with an industrial partner, the entire process chain from the 
experimental production and characterization of the magnetocaloric 
materials through their theoretical description to the construction of a 
demonstrator is to be implemented and digitalized throughout.

Research topics include:
Development of embedding methods that take into account both texts and 
structured data
Development of procedures to search vector spaces systematically for 
conclusions by analogy
Development of ontologies via a template-based approach, and
Rationalization of the material research processes within the project 
through documentation of the underlying decision-making processes


Requirements:
Master’s Degree or equivalent in computer science, bioinformatics, 
medical informatics, data science or related
Experience in working with data and databases
Potential for scientific work
Strong analytical and conceptual skills
Communicative skills
Efficient and organized way of working
Experience with machine learning (desirable)
Experience with semantic technologies (desirable)

Duration: 3 years with possible extension, depending on available funds

Deadline of Application: November 4th, 2020

Job Announcement (in German): 
https://www.uni-bielefeld.de/uni/karriere/stellen-wiss/wiss20214.pdf

======================================================================

The salary of all the above mentioned positions is subject to tarif 
TVL-13 and will amount to an approximate gross salary starting from 
approx. 4.000 EUR per month and will vary depending on experience, 
family/civil status. An official salary calculator can be found here: 
http://oeffentlicher-dienst.info/tv-l/allg/

Applications should include a CV, list of publications (if applicable), 
as well as short motivation letter.

Applications and enquiries should be sent to Prof. Philipp Cimiano at 
cimiano@techfak.uni-bielefeld.de. Please explicitly state the 
application code of the position you are applying for in the subject of 
your email.

[1] http://www.sc.cit-ec.uni-bielefeld.de/home/


-- 
Prof. Dr. Philipp Cimiano
Head of Semantic Computing Group
Cognitive Interaction Technology Center (CITEC)
Faculty of Technology
Bielefeld University
Phone: +49 (0) 521 106 12249
Received on Wednesday, 30 September 2020 06:48:46 UTC

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