Postdoctoral Position Available
We are looking for a PostDoc who is available for an immediate start at the FAIR Data Informatics Laboratory at UCSD. For more information please contact us at apply@fdilab.org
Job Description:
The offered position will be in the FAIR Data Informatics Laboratory at the University of California, San Diego. We are involved in a number of national scale informatics projects developing ontologies, knowledge graphs, and methods for efficient semantic indexing, aggregation, linking, and retrieval of comprehensive heterogeneous and distributed data sources. This position will be working across two projects: The NIH Common Fund Data Ecosystem, which is creating a shared framework to make Common Fund data sets FAIR (Findable, Accessible, Interoperable, and Reusable) and enable researchers to ask scientific and clinical questions from a single access point; and the Common Fund’s Stimulating Peripheral Activity to Relieve Conditions (SPARC) program which seeks to accelerate development of therapeutic devices that modulate electrical activity in nerves to improve organ function. The position will be responsible for knowledge engineering and supporting systems involved in the querying, viewing, federating, analyzing and managing of bio-medical ontologies and the use of these ontologies in the annotation of primary research data and the representation of knowledge extracted from this data.
Desired Qualifications and Skills:
A completed PhD in Computer Science, Informatics or a related field.
Publications of research results in peer-reviewed journals and conferences.
Proven software engineering skills and the ability to develop mature software components beyond pure research prototypes.
Successful collaborations with other research groups industry, as well as open-source and community initiatives, for example, in the context of publicly funded collaborative research projects.
Excellent English skills, written and spoken.
Expertise in one of the following fields of research, more than one area is desired but not required:
Knowledge Graphs and Semantic Web Technologies
Ontologies and Ontological Engineering
Machine Learning and Deep Learning
Knowledge Discovery and Knowledge Mining
The candidate should be highly self-motivated and be interested in tackling challenging research problems, have organizational skills, be open minded, and have scientific leadership potential. The advertised position gives you the opportunity to contribute to the development of advanced information services in an innovative scientific and technical environment. We offer you interesting tasks within international collaborations as well as performance-oriented career opportunities.