FYI– great job opportunities in this massive national Canadian program
Cheers
Sandra
De : Elena Bennett, Dr. [mailto:elena.bennett@mcgill.ca]
Envoyé : lundi 4 novembre 2019 16:07
À : Elena Bennett, Dr. < <mailto:elena.bennett@mcgill.ca>
elena.bennett(a)mcgill.ca>gt;; Klara Johanna Winkler <
<mailto:klara.winkler@mcgill.ca> klara.winkler(a)mcgill.ca>
Objet : we're looking for postdoc, PhD, MSc applicants and more!!
Hi Folks,
I’m launching an exciting new pan-Canadian network that brings together over 50
researchers from nearly a dozen universities, working alongside 17 government, industry,
and NGO partners who aim to transform Canada’s capacity to monitor, model, and manage its
working landscapes and all the ecosystem services they provide for long-term well-being
and shared prosperity of all Canadians.
We are building our team, with many openings for positions in project management, data
management, and a variety of research (including postdoctoral, PhD, MSc, and
undergraduate) positions. Please pass this email along to anyone you know in this field
who is currently looking for a position to work on exciting ecosystem service projects!
I’ve listed two modelling-oriented postdoctoral positions below; you can find more
information about several other PhD and MSc positions and more on my website
<http://bennettlab.weebly.com/join-the-lab.html> . These positions span the
ES-research space from governance to GIS to modelling. There really is something for
everyone interested in using ES to improve management of working landscapes!
(Note - most positions are not in my lab, but based with other teams in a variety of
locations across Canada. However, as PI of the network, I’m happy to answer questions
about any positions!)
Hope everyone is doing well.
Best,
Elena
(1) Modeling ecosystem services across Canada: ResNet Post-doctoral Fellow (T2-PDF1)
Start Date: As soon as possible
Salary: $50,000 per annum + benefits
Duration: 2 years
Location: McGill University, Montreal, Canada
Supervisors: Dr. Brian Robinson (McGill) and Dr. Lael Parrott (UBC-Okanagan)
This is an exciting opportunity for a quantitative geographer or interdisciplinary
scientist tocontribute to innovative research through developing next-generation ecosystem
service models that integrate nature and people. The PDF will source available data and
develop appropriate quantitative methods in developing these models.
The research program involves a consortium of leading universities across Canada working
with local government and civil society partners to address real-world issues in 6 working
landscapes, and is highly interdisciplinary. We will use methods and tools from a range of
disciplines to model the impacts of policy scenarios on changes in ecosystem services and
the
resulting benefits to people.
The successful PDF will benefit from opportunities to collaborate with world-class
investigators in Canada and our partner institutions, attend technical workshops and team
meetings, and contribute to local policy debates in our sample of working landscape. The
successful candidate must have an exceptional aptitude for analytical and critical
thinking about scientific problems, data, and analytical methods; strong written and oral
communication capabilities; motivation for problem solving; aptitude for interdisciplinary
research and teamwork; and ability to work and learn independently. For postdoctoral
appointees, there will be scope to transition from mentored research to an independent
research agenda.
Ideal Qualifications
* PhD in quantitative geography or similar, with applied computer programming experience.
* Technical competence in spatial science, data science, and applications to geographic
information systems
* Familiarity with data sources that could characterize the supply of ecosystem services
and community beneficiaries that use ecosystem services
* Track record of technical and scholarly excellence as demonstrated through publications,
methods development, and applications
* Background in ecosystem services
* Superior data management and organizational skills
* Some familiarity with machine/deep learning is a plus
Application procedure
Interested candidates should email brian.e.robinson(a)mcgill.ca
<mailto:brian.e.robinson@mcgill.ca> and lael.parrott(a)ubc.ca
<mailto:lael.parrott@ubc.ca> (with subject: ES modelling Postdoc) with a single PDF
containing (in order):
1. A cover letter describing your research background, interests, and qualifications,
2. A full curriculum vitae,
3. Contact information for at least 2 references, and
4. One or two sample publications.
Review of applications will begin on November 11, 2019. Competitive candidates will begin
to
be contacted shortly thereafter, with review ongoing until a suitable candidate is found.
Only
shortlisted candidates will be contacted. We welcome applications from indigenous
peoples,
visible minorities, ethnic minorities, persons with disabilities, women, persons of
minority sexual
orientations and genders.
More details here:
http://bennettlab.weebly.com/join-the-lab.html
(2) ResNet Post-doctoral Fellow (T3-PDF1), Monitoring change in spatial ecosystem service
networks
Start Date: As soon as possible
Salary: $50,000 per annum + benefits
Duration: 2 years
Location: McGill University
Supervisors: Dr. Andrew Gonzalez (McGill) and Dr. Marie-Josée Fortin (Toronto)
We are seeking an exceptional postdoctoral researcher to conduct research on the problem
of identifying and monitoring change in spatial networks of biodiversity and ecosystem
service (ES) supply. The PDF will develop appropriate quantitative methods and apply them
to a selection of Canadian resource use landscapes.
The specific research objectives are (i) using existing data to identify spatial ES
networks in our six partner landscapes, (ii) the identification of statistically robust
network indicators for trend detection in the supply and connectivity of ES, and (iii) to
develop methods that support decisions for the allocation of resources to monitor ES
across space (and time) in order to maximize the information obtained from the ES
monitoring networks in each landscape.
The PDF will employ methods for ecosystem service network monitoring, which draw upon a
powerful suite of tools for identifying the connectivity of the ES network, and for
ranking the importance of the nodes and links to the dynamical state of network.
Essential Duties: The primary responsibilities of the successful candidate will be to
conduct innovative research and outreach in collaboration with a diverse group of
university scientists as well as their industry and government partners. The postdoc will
co-lead a series of data collection workshops in different landscapes across Canada. The
specific duties of the position will include model development and simulation; data
collection; stakeholder discussions; report writing; workshop organization and the
preparation of manuscripts in collaboration with the supervisors. The successful candidate
will also be responsible for training graduate students and contributing to the
development of competitive research grants as needed.
Applicants must have completed a Ph.D. in a relevant discipline within the last three
years and have primary publications in refereed, English language journals. We are seeking
fluency in written and spoken English, the ability to work cooperatively with the
supervisors, and strong communication and organizational skills.
The ideal candidate will have expertise in numerical ecology, network methods,
ecoinformatics, biodiversity and ecosystem service science, and a desire to develop novel
methods in the monitoring of ecological change. We value creative and autonomous thinkers
used to working in an interdisciplinary setting. National and international travel will be
required.
To apply, please send a cover letter describing your research background, interests, and
qualifications; two example publications demonstrating your relevant research experience;
plus, a complete curriculum vitae and contact information for at least two references to
<mailto:andrew.gonzalez@mcgill.ca> andrew.gonzalez(a)mcgill.ca and
mariejosee.fortin(a)utoronto.ca <mailto:mariejosee.fortin@utoronto.ca>
More details here:
http://bennettlab.weebly.com/join-the-lab.html