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-----Original Message-----
From: Tommi Nyman <tommi.nyman@xxxxxxxx>
Sent: onsdag 2. mars 2022 12:52
To: norbol@xxxxxxxxxx
Subject: VS: [norbol] Postdoc: UGuelph.8.Biodiversity
Forwarded from the FinBOL mailing list... Mvh, Tommi
BIOSCAN: Transforming Biodiversity Science
An Exceptional Opportunity for Early Career Researchers
The International Barcode of Life Consortium (iBOL) is coordinating a series of
research programs that will register all multicellular species and activate a
global biosurveillance system within 25 years. BIOSCAN, its current program, is
an 8-year, $180 million effort involving organizations in 40 nations. Its
scientific work focuses on three major themes – species discovery,
interactions, and dynamics. This work will be advanced by exploiting the latest
developments in DNA sequencing, AI, data science, and machine learning. This
scientific work will support important applications designed to improve the
sustainability of agriculture, forestry, and mining. Furthermore, BIOSCAN aims
to ensure its science influences society through policy change. Further details
are available at https://bioscan.life/
Because BIOSCAN’s activities are rapidly expanding in Canada and
internationally, this is the perfect time to join an enterprise that will
transform our understanding of biodiversity and our capacity to manage it. We
seek early career researchers (ECRs) to join us in leading Canada’s
contribution to BIOSCAN. If selected, you will work with leading Canadian
researchers in biodiversity science, genomics, and computer science to achieve
BIOSCAN’s mission. There will be strong opportunities for cross-disciplinary
training, for national and international travel, and for carrying out impactful
science. See following page for a detailed description of each position.
Postdoctoral fellow, Hebert Lab (6 positions) Principal Investigator: Dr. Paul
Hebert
Summary: These postdoctoral fellows will advance work on species discovery in
both Canada and internationally. As more than 10 million specimens will be
analyzed over the next six years, those selected for these positions will have
access to unprecedented datasets in terms of both geographic breadth and
taxonomic coverage. Work will involve the acquisition and analysis of long-read
DNA sequences generated by in-house PacBio Sequel and Sequel II platforms
supported by a strong team of analysts. Tens of thousands of species new to
science will be registered, motivating the search for improved methods to
discriminate species and to speed their description. Prior experience with
arthropod taxonomy, especially with Acarina, Collembola, Hemiptera,
Hymenoptera, or Lepidoptera is desirable. Candidates who couple such expertise
with a background in DNA barcoding, metabarcoding, or molecular evolution will
be ideal for these positions.
Postdoctoral fellow, Hajibabaei Lab (1 position) Principal Investigator: Dr.
Mehrdad Hajibabaei
Summary: Our lab uses genomic methods to investigate biodiversity and its
changes at various levels of organization and scales. This postdoctoral
position will help advance the development of bioinformatic tools for the
rapidly advancing field that uses metabarcoding and related approaches.
This could involve the development of new tools or improvement of existing
tools to be more scalable or user-friendly. Potential candidates should be
comfortable working in a command-line Linux environment, and they should be
familiar with a scripting language such as Python or Perl.
Candidates should have experience in R and be comfortable performing basic
statistical tests in R or Python as required. An interest in or experience
implementing machine learning (ML) techniques using R or Python would be an
asset but not required. Any previous experience with field work, molecular
biology work, analyzing metabarcoding or other genomics data should be
mentioned in your application. Our lab provides an excellent training
environment for motivated candidates with a willingness to learn or further
develop proficiency with scripting/coding/ML methods. Our team has expertise in
ecology-evolutionary biology, bioinformatics, and computational biology. Your
application should list your technical skills (platforms, languages, programs)
and highlight relevant course work as well as how you have applied your
technical expertise to address problems in the fields of ecology/ evolutionary
biology/genomics or related fields.
Postdoctoral fellow, Machine Learning Research Group (1 position) Principal
Investigator: Dr. Graham Taylor
Summary: We seek a postdoctoral fellow to be based in the Machine Learning
Research Group at the University of Guelph and affiliated with the Vector
Institute for Artificial Intelligence, a network of more than 600 AI
researchers. You are motivated to advance AI/ML research in the service of
BIOSCAN’s ambitious global mission. You will have the opportunity to work on
projects that span computer vision and DNA sequence analysis. For vision, this
involves pushing the limits of fine-grained recognition for taxonomic
categorization using techniques such as self-supervised learning, generative
models and sim2real. For DNA sequences, this involves graph representation
learning to predict missing links and evolutionary paths from recovered
structures. The data collected in BIOSCAN will also support learning joint
visual-DNA representations. You have a strong publication record, preferably in
international conferences such as NeurIPS, ICML, ICLR and CVPR. You are keen to
raise awareness of biodiversity research in those communities. You have
mastered Python-based frameworks such as PyTorch/TensorFlow/JAX. You also have
experience managing experimental workflows on GPU-enabled clusters. You are
open to and ideally experienced in cross-disciplinary collaboration.
To apply:
Candidates should submit a 2-page letter of interest (outlining key skills and
background), a full CV, and contact information for two references as one PDF
to: BIOSCANCanada@xxxxxxxx. Applicants should clearly indicate the position(s)
that are of most interest.
BIOSCAN supports a culture of inclusion as an organizational imperative. As a
result, we encourage applications from all qualified individuals, especially
those from groups traditionally underrepresented in science.
Closing date: Review of applications will commence on March 21, 2022.
Hannah James <hjames@xxxxxxxxxxx>
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