Graduate student positions

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Graduate studies in Theoretical Ecology or Epidemiology - Memorial University

The Hurford Lab (http://amyhurford.weebly.com/) at Memorial University is recruiting graduate students at both the M.Sc. and Ph.D. levels. Our research group studies population dynamics incorporating temperature effects, animal movement, disease, and evolution. We formulate and test specific hypothesis using mathematical models and parameterize and evaluate our models using data. We analyze mathematical models that are systems of ordinary differential equations, delay differential equations, partial differential equations, integrodifference equations, or optimization problems and these models are applied to a wide variety of systems including green crab, rabies, and salmon lice. Specific research projects may include optimal pest treatment strategies in seasonal environments, temperature effects on population dynamics and movement, explicit models of animal movement and contact rates, or collaborative work deriving models related to laboratory research on antibiotic resistance in Klebsiella. Our research usually involves computer coding and numerical methods and many scripts pertaining to lab research are available here: https://amyhurford.weebly.com/publications.html

A competitive salary will be offered with additional funding available for conference travel. The ideal candidate will have experience deriving and analyzing mathematical models, formulating scientific questions, computer programming, mathematical analysis, and scientific writing, however, all interested candidates are encouraged to apply.

Applicants should email Dr. Amy Hurford (ac.num|drofruha#ac.num|drofruha). This email should include: (i) 1-2 paragraphs describing your research interests and any relevant past experience, (ii) your CV, and (iii) unofficial transcripts pertaining to your previous or ongoing studies (if possible). I will consider applications as they are received. For full consideration applicants should indicate their interest before November 15, 2018, but applications received after this date may be considered.

Memorial University is located in St John’s, Newfoundland, Canada. The city offers many unique experiences with a vibrant arts community, stunning coastline, and proximity to a variety of outdoor activities (hiking, fishing, cross-country skiing, etc: http://www.newfoundlandlabrador.com).


Graduate position in quantitative community and spatial ecology

The Shoemaker lab is accepting applications for 1-2 graduate students (Masters or Ph.D.) who will start fall 2019 at the University of Wyoming in the Program in Ecology or the Botany Department. Our lab’s research broadly focuses on understanding spatial and temporal community dynamics and coexistence. We combine ecological theory and modeling with experimental tests of underlying mechanisms across a variety of systems, using protist microcosms, grassland manipulations, and long-term datasets. Our research focuses on how spatial heterogeneity, dispersal, and stochasticity alter coexistence of competing species and underlying community composition. More information on our research can be found at https://laurenshoemaker.weebly.com/.

Qualified applicants should have previous research experience that matches any of the lab’s general research themes, and students with strong quantitative backgrounds are especially encouraged to apply. We are interested in students from a diversity of backgrounds, including ecology, biology, mathematics, and computer science. We value diversity and encourage students from underrepresented groups to apply. Graduate students will be supported in part by a new 5-year, $20 million NSF EPSCoR RII Track-1 grant to the University of Wyoming. Additional details can be found at http://www.uwyo.edu/epscor/microbial-ecology/.

To apply, contact Dr. Lauren Shoemaker at ude.oywu|1ameohsl#ude.oywu|1ameohsl with (1) a CV that includes relevant research or work experience, GPA, and relevant previous classes and (2) a brief description of your research background, future research ideas, and interest in joining the lab. This will allow us to discuss research interests and fit before submitting an official application. The application deadline is January 31 (Program in Ecology) or February 1 (Botany), however applicants are encouraged to express interest as soon as possible.

The University of Wyoming has a total enrollment of 12,000 full-time students with active ecological research across multiple departments, including Botany, Zoology and Physiology, Ecosystem Science and Management, and the Program in Ecology. The university is located in Laramie, a mountain town with a relatively low cost of living that is close to multiple field sites, several mountain ranges, and within easy driving distance of Colorado’s Front Range corridor (Fort Collins, Boulder, and Denver). The University of Wyoming is an Equal Employment Opportunity and Affirmative Action employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status or any other characteristic protected by law and University policy. Please see www.uwyo.edu/diversity/fairness.


2 PhD positions in statistical forest ecology / forest modelling and model calibration at the University of Regensburg, Germany

The Professorship for Theoretical Ecology (Florian Hartig) at the Chair for Ecology and Conservation Biology is looking to fill

  1. PhD position in statistical forest ecology
  2. PhD position in forest modelling / model calibration

starting as early as possible for an initial duration of 1 year, with an intended extension of another 2 years. The 65% positions will be paid according to German public-sector level E13.

Project descriptions

  1. Analysis of demographic processes in temperate forest ecosystems (with L. Hülsmann): The goal of this project is to better understand and predict demographic processes (growth, mortality, recruitment) in temperate forests. To that end, the PhD student will apply mostly statistical, but also simulations models, both based on large forest inventory datasets. The project will be conducted in cooperation with scientists at irstea (Grenoble, France) and partner projects within the bayklif-network.
  1. Bayesian calibration and uncertainty in process-based vegetation models (with F. Hartig) The goal of this project is to develop and apply Bayesian methods for the calibration and un-certainty analysis of dynamic vegetation models (LPJ-GUESS) and other ecological models (along the lines of Hartig et al., 2012). Case studies are planned in cooperation with partner groups at the TU Munich (Rammig lab) and the Uni Würzburg (Cabral lab).

More details and application procedures

For more details, see

Application deadline: 15.6.18, but please keep this posting up until 15.7.18, as we may also consider later applications (please inquire via email).


11 PhD Positions on ‚Integrating Biodiversity Research with Movement Ecology in Dynamic Agricultural Landscapes‘ (BioMove)

Location
University of Potsdam; Leibniz Institute for Zoo and Wildlife Research (IZW), Berlin; Freie Universität Berlin; Leibniz Centre for Agricultural Landscape Research (ZALF) Müncheberg

BioMove
BioMove links innovative individual research projects that overcome the apparent gap between movement ecology and biodiversity research, employing a joint conceptual framework. It strategically combines empirical, experimental and modelling approaches to advance our mechanistic understanding of how biodiversity patterns emerge and how they feed back on the active and passive movement of organisms. This will improve our ability to predict biodiversity responses to ongoing changes in land use or climate. Projects cover different spatial and temporal scales and groups of organisms ranging from bacteria, fungi, plankton, plants, and insects to birds and mammals (for more details see http://www.biomove.org).

Doctoral candidates will also strongly profit from a unique qualification program specifically tailored to bridge between state-of-the-art concepts and methods in movement ecology and biodiversity research, supplemented by a broad range of soft skill workshops.

BioMove has a strong theory focus and is therefore of particular interest for ESA’s Theory Section. This is BioMove’s second cohort of PhD projects. Like the first one, we expect the second cohort to be international so that English will be the language throughout all meetings.

Project descriptions
Detailed information on the application process, the research topics with their specific tasks and the training program are available at http://www.biomove.org. Candidates are required to indicate up to three preferred projects and explain their motivation for choosing them. Short-listed candidates will be invited to an application symposium on June 21./22. in Potsdam.

Qualifications
Candidates should fulfill the following requirements:

  • A very good M.Sc. degree (or equivalent) in Ecology, Zoology, Botany, Conservation, Behavioural or Evolutionary Biology, Microbiology, Epidemiology (or other natural sci-ences if mechanistic modelling was involved). Candidates that have not yet finished their Master thesis can submit a current and informative study record.
  • Very good English skills (written and spoken)
  • Very good statistical and analytical skills (preferentially sound knowledge in R)
  • Experience in one or more of the following areas is expected: experimental field and laboratory studies, mathematical or computer simulation modelling, telemetry, molecular ecology.
  • A strong interest in interdisciplinary research and the willingness to engage in scientific exchange with other disciplines is essential for applicants.

The University of Potsdam, the Freie Universität Berlin, the Leibniz Institute for Zoo and Wildlife Research and the Leibniz Centre for Agricultural Landscape Research strive to maintain gender balance among its staff. Severely disabled applicants shall receive preference in case of equal qualifications. We expressly invite applications from people with migration backgrounds.

Conditions of employment
University of Potsdam (7 positions):
26 hours per week (65%) for three years. The salary scale is in accordance with the German public service 13 TV-L (area east). Con-tracts are time-limited according to Section 2 subsection 1 of the Academic Fixed-Term Con-tract Law (WissZeitVG). Under the laws of the federal state of Brandenburg, employees under this contract are per-mitted to dedicate at least 33% of their contract time for their scientific qualification.

At the Leibniz Institute for Zoo and Wildlife Research (IZW), Berlin (2 positions):
Salary is according to TVöD Bund (25,35 hours per week 65%), 3-year contract.

At the Freie Universität Berlin (1 position):
Salary is according to TV-L FU E13 (65%), 3-year contract

Application
Detailed information on the application process, the research topics with their specific tasks and the training program are available at http://www.biomove.org. Candidates are required to indicate up to three preferred projects and explain their motivation for choosing them. Short-listed candidates will be invited to an application symposium on June 21./22. in Potsdam.

Please send your application in electronic form by June 1, 2018 to the RTG coordination office (ed.madstop-inu|gtr-evomoib#ed.madstop-inu|gtr-evomoib). Applicants should follow the information and instructions given at https://www.biomove.org/phd-vacancies-2018/

For further information please contact ed.madstop-inu|gtr-evomoib#ed.madstop-inu|gtr-evomoib.

Information
For further information please contact ed.madstop-inu|gtr-evomoib#ed.madstop-inu|gtr-evomoib.

Expiry data: June 2, 2018


Job offers in computational ecology (PhD + Postdoc)

The Institute of Marine Sciences @ Barcelona (CSIC) is looking for candidates to fill two job offers (PhD + Postdoc) in computational ecology of marine ecosystems. The open positions are within the frame of a research project SPEAD, funded by the Spanish National Science Foundation. The project SPEAD seeks to simulate plankton ecological evolution (Eco-Evo) for the global ocean using the adaptive dynamics framework of trait-diffusion. Further details can be found here (link below)

  1. <https://oceanglobe.org/jobs/>
  1. <http://www.jobs.ieo-gijon.es/index.html>

PhD Traineeship in Sustainable Oceans at UC Davis

UC Davis received a $3M award from the National Science Foundation in support of a new Research Traineeship (NRT) program “Sustainable Oceans: From Policy to Science to Decisions”. Our Sustainable Oceans NRT will train the next generation of PhD marine scientists under a new paradigm that puts the policy focus on the front-end of the research and training enterprise as a means of building more effective links between the science and decisions on sustainable use of living marine resources. The basis of the new interdisciplinary paradigm is combining traditional graduate training in core disciplines and interdisciplinary courses, with an emphasis on quantitative methods, on marine science and policy with immersion into the policy process and politics surrounding ecosystem-based fishery management.

The first cohort of trainees will start in the fall of 2018. Over 5 years, we anticipate training 60 PhD students, including 30 funded trainees, from the fields of ecology, conservation biology, economics, geology, physiology, biogeochemistry, and oceanography.

If you would like to learn more about this program, please visit http://sustainableoceans.ucdavis.edu


PhD Positions in plant ecology at Utah State University

The Beckman Lab investigates interactions between plants and their environment occurring over multiple scales and examines the role of these interactions in limiting plant populations and maintaining biodiversity. Many of these interactions are disrupted by global change, and we examine the consequences of these disruptions for plant communities and ecosystem functions. The research group uses a combination of empirical, statistical and mathematical approaches to address our research questions. Examples of ongoing projects include: 1)synthesizing data with mathematical models to predict extinction risk of plant species to climate change, 2) understanding the importance of seed dispersal under global change, and 3) examining the influence of dispersal and plant consumers on plant spatial patterns.

Graduate students will be encouraged to develop creative and independent research projects related to research themes within the Beckman Lab. Students should have an interest in ecological theory and combining field/lab studies with modeling (e.g., mathematical, statistical, simulation). Potential locations for field work include sites in Utah and Panama.

The Beckman Lab is committed to building a diverse and inclusive community. Women, minorities, individuals with disabilities, and veterans are encouraged to apply.

Qualifications

  • Previous research experience
  • Ability to work independently and collaboratively within a team
  • Strong written and oral communication skills
  • Strong quantitative skills and/or interest in developing quantitative skills

Institutional Support
There are a variety of excellent opportunities for education, training, funding, and collaboration in ecological research at USU:

Location
The main campus of USU is located in Logan, Utah, 85 miles north of Salt Lake City. Logan is a city of 100,000 people in Cache Valley surrounded by the Wasatch Range of the Rocky Mountains. With close proximity to mountains, lakes, rivers, and national parks, there are lots of opportunities for outdoor recreation, including skiing, climbing, mountain biking, etc!

Application Process
The Beckman Lab is housed in the Department of Biology and Ecology Center at Utah State University (USU). Students interested in pursuing empirical and quantitative ecology should apply to the Biology Department, which offers Doctor of Philosophy (PhD) and Master of Science (MS) degrees in either Biology or Ecology. Students interested in mathematical ecology/applied mathematics should apply to the Interdisciplinary Studies Specialization doctoral program in the Department of Mathematics and Statistics .

Before applying, interested candidates should contact Dr. Beckman (noelle.beckman AT usu.edu) with a letter of interest, CV, and contact information for two references. In your letter, include a description of your research interests and why you are interested in joining the research group as well as a summary of your prior research experience and your academic background (e.g., relevant coursework).

The recommended date to pre-apply is December 1 and application to the School of Graduate Studies is January 15 for full consideration of financial support (but there may be opportinites available outside of this schedule, so please contact me). Follow the respective links for more information on policies, expectations, financial support, and application details for the Biology Department, the Ecology Center , and the Mathematics & Statistics Department.

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