- 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>
The Semantic Computing Group [1] at Bielefeld University has four open positions: -------------------------------------------------------------------------------------------------------------------------------- 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 -------------------------------------------------------------------------------------------------------------------------------- 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 -------------------------------------------------------------------------------------------------------------------------------- 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 -------------------------------------------------------------------------------------------------------------------------------- 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