[Nhcoll-l] Postdoctoral Research Position in Biodiversity Informatics at Arizona State University

Nico Franz nico.franz at asu.edu
Wed Oct 10 17:20:58 EDT 2018


The Biodiversity Knowledge Integration Center (BioKIC) at Arizona State
University (ASU) invites applications for a postdoctoral research scholar
position in biodiversity informatics. The position is
part of a new Biodiversity Data Science Initiative launched at ASU and led
by Beckett Sterner and Nico Franz. The initiative will focus on building an
innovative web platform that leverages
theoretical advancements and prototype software for taxonomic concept
alignment (https://doi.org/10.1093/sysbio/syw023), with the goal to
establish a scalable taxonomic intelligence service
that will carry value for scientific audiences, science publishers,
government agencies, and environmental consulting firms. The platform will
accelerate the growth of high-quality, reproducible
biological data by driving the adoption of taxonomic intelligence metadata
in scientific datasets and journals. This postdoctoral research scholar
position will focus on developing a web-based
taxonomic intelligence platform and innovating better solutions for
knowledge representation and reasoning at scale.

The successful candidate must have a Ph.D. in biology, computer science, or
related field, and minimally two years for experience in building
production-level software. The successful candidate
will also have a strong record of achievement in biodiversity informatics,
linked data/knowledge engineering and Semantic Web technologies; including,
for example, knowledge representation
(e.g., RDF) and machine reasoning (e.g., Answer Set Programming), data
search, management, knowledge graphs, visualization, and software
development, with knowledge of biological
systematics being highly beneficial. Technical proficiency in full-stack
programming is critical (HTML/CSS, JavaScript, Python, SQL, as well as
NoSQL). The ability to select technologies, and
rapidly iterate on the implementation of a high-quality, functional and
scalable system is preferred. Mentoring of students and co-/authorship of
peer-reviewed publications, presentations, and of
research proposals, will be strongly encouraged.

We are committed to open science and an inclusive, equitable, and
team-oriented work environment that promotes the candidate's career and
personal advancement. The Biodiversity Data
Science Initiative is located within the School of Life Sciences and
Natural History Collections at Arizona State University. This setting
offers a supportive and stimulating environment, with a
diverse collection of faculty with expertise across the life and
computational sciences, as well as access to excellent academic and
computing resources. The Initiative is further supported by
faculty from ASU's School of Computing, Informatics, and Decision Systems
Engineering and external experts in data science for systematic biology. In
addition, the postdoctoral researcher will be
able to take advantage of multiple seminar series and a large community of
faculty, postdocs, and students. Arizona State University offers a rich
environment for early-career researchers and a
wide range of support programs for postdocs.

Exploratory e-mail inquiries are strongly encouraged. Interested applicants
should send a one-page research statement, clearly indicating their
qualifications and motivation to join the project,
Curriculum Vitae, and contact information for three references to
nico.franz at asu.edu. The review of applications will begin October 26, 2018;
if not filled, applications will be reviewed every week
thereafter until the search is closed. The start date is flexible, with a
preference for January 1, 2019.

Salary is commensurate with experience, with a range of $55,000 to 75,000
annually, plus ASU benefits, for exceptionally well-qualified applicants.
Reasonable relocation funds are available.

Full position ad: https://sols.asu.edu/sites/default/files/job_12575.pdf
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