Graduate student positions

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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

PhD Opportunities in Disease Ecology and Epidemiology at Notre Dame

The Perkins Lab at the University of Notre Dame is seeking exceptional students interested in studying diverse topics related to the epidemiology, ecology, and evolution of vector-borne pathogens. Research activities in the lab involve the use of a wide range of mathematical, statistical, and computational tools to address basic and applied research topics, including

(1) forecasting spatiotemporal variability in pathogen transmission and disease incidence,
(2) leveraging pathogen genetic data to make inferences about pathogen spread,
(3) coupling mathematical models with empirical studies of vaccines and vector control, and
(4) blending modeling and experiments to understand and mitigate the evolution of vector resistance.

In addition to a collegial lab environment with members at a variety of career stages and from diverse backgrounds, students will have opportunities for mentorship from and collaboration with a number of intramural and extramural colleagues. A passion for developing and applying innovative quantitative approaches for extracting meaning from empirical data and/or elucidating new biological understanding using theoretical approaches is essential. Engaging in the collection of empirical data is encouraged, but not required.

Interested applicants should email the PI, Alex Perkins, at ude.dn|snikrepat#ude.dn|snikrepat after seeking more information at Top applicants will have prior experience in research and a demonstrated commitment to learning new quantitative and computer programming skills.

Funding is guaranteed via a mixture of research and teaching assistantships for 5 years. The University of Notre Dame offers excellent benefits, a full tuition waiver, and a generous stipend (~$29K for 2017). A variety of fellowship opportunities are open to top applicants. For more information regarding the Biology Graduate Program, see and The deadline for receipt of all application materials for the PhD program is December 1, 2017.

M.Sc. in Theoretical Epidemiology - Memorial University of Newfoundland

The Hurford and Tahlan laboratories at Memorial University (Canada) are recruiting 1 M.Sc. student to design and perform experiments, and to develop models and analyze data for a host-parasite model system. The experimental system involves Klebsiella sp. infection of nematodes. The theoretical models used to describe this system will consider coinfection and disease-induced mortality for different Klebsiella strains.

A competitive salary will be offered with additional funding available for conference travel. The ideal candidate will have experience deriving mathematical models, and epidemiological models in particular, and experience simulating and fitting these models to data. An interest in microbiology is necessary and previous experience in microbiology is an asset, 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 October 31, 2017, but applications received after this date may be considered. Applicants should be able to begin their studies in May or September, 2018.

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:

PhD Position: Theoretical Ecology

The lab of Allison Shaw in the Department of Ecology, Evolution and Behavior at the University of Minnesota is recruiting a PhD student to start in Fall 2018. Research in our lab uses mathematical models to understand the ultimate factors that drive long-distance movement (migration, dispersal) as well as the consequences of movement for population viability, spread, and interspecific interactions.

The specific research topic is flexible but could include developing theory to understand how migration or dispersal can interact with climate change, parasites, and infectious diseases. See the lab webpage for details on current research projects.

Interested applicants should send (1) a cover letter describing their research interests, mathematical background, and training, and (2) a CV (with GPA and GRE scores) to Dr. Allison Shaw (ude.nmu|wahsa#ude.nmu|wahsa). Questions and possible projects can also be discussed over email as well. Students with prior research experience, and with exposure to mathematical modeling (through coursework or research) are particularly encouraged.

Formal applications should be submitted to the Ecology, Evolution and Behavior (EEB) Graduate Program by December 1, 2017. Interested applicants should also consider applying for a Graduate Research Fellowship from the NSF.

The EEB graduate program is a richly collaborative community that includes students with theoretical and empirical interests, spanning organismal to ecosystem scales. The University of Minnesota-Twin Cities is located in the center of the Minneapolis-St. Paul metropolitan area with a wide variety of cultural attractions. The campus is also home to a diverse set of researchers ( and resources in the mathematical and biological sciences. These include the Bell Museum of Natural History, the Minnesota Supercomputing Institute, and the Institute on the Environment.

PhD assistantship opportunity in applied Bayesian statistics at the Univ. of Florida

Dr. Denis Valle, Assistant Professor in the School of Forest Resources and Conservation at the University of Florida (UF), is seeking a PhD graduate research assistant, who has strong interest in statistical/quantitative aspects of environmental sciences or public health.

Research in my group focuses on tackling important problems in environmental sciences and public health by creating and using innovative Bayesian statistical models. Dr. Valle is affiliated with the Tropical Conservation and Development program and the Emerging Pathogens Institute at UF and my graduate students have done field work in West Africa and South America. Additional information on my research can be found at

The position will focus on the development and application of novel Bayesian models in environmental sciences or epidemiology. As part of this work, the student will also develop interactive tools to aid decision-making. The position will be located at the UF campus in Gainesville, FL. Duties include writing and presenting result of research in scientific conferences, searching and applying for additional sources of funding, and assisting other students within the team on statistical analyses, among others.

We expect applicants to be highly motivated, independent, enthusiastic, proficient in computer programming (e.g., R, Python, MatLab, or C++) and able to successful communicate research results (i.e., through publications and oral presentations).

Requirements for prospective PhD students include:

  • background in environmental sciences or public health/epidemiology with experience in (or desire to learn) advanced statistical Bayesian models; or
  • background in statistics with experience in (or desire to learn) environmental sciences/epidemiology;
  • GRE minimum scores of 153 Verbal; 155 Quantitative; Analytical/writing 4 (500/700 old scoring scale)
  • BS or MS degree with GPA exceeding 3.5
  • The candidate must meet the formal admission requirements for the University of Florida and the School of Forest Resources and Conservation. (

If interested, please email the items listed below to ude.lfu|ellavrd#ude.lfu|ellavrd:

  • One page cover letter with a brief review of your research experience, interests and goals, and how they align with those from my lab
  • CV with contact information
  • Contact information for three academic references
  • GRE scores
  • Transcripts (unofficial) from all previous colleges and universities

Start Date: August (2018)
Deadline: Jan. 15th, 2018

Information about the University of Florida

The University of Florida ( is among the top 10 U.S. public universities, according to the 2018 U.S. News & World Report rankings. UF is a Land-Grant, Sea- Grant, and Space-Grant institution, encompassing virtually all academic and professional disciplines, with an enrollment of more than 50,000 students. The University of Florida is an equal employment and affirmative action employer and a provider of ADA services. All qualified applicants will receive consideration for employment without regard to age, ethnicity, color, race, religion, sex, sexual orientation or identity, national origin, disability status or protected veteran status.

Information about the City of Gainesville

Situated in the rolling countryside of north central Florida, Gainesville is much more than a stereotypical college town. Home of the University of Florida, seat of Alachua County's government and the region's commercial hub, it is progressive, environmentally conscious and culturally diverse. The presence of many students and faculty from abroad among its 99,000-plus population adds a strong cross-cultural flavor to its historic small-town Southern roots. Its natural environment, temperate climate and civic amenities make Gainesville a beautiful, pleasant and interesting place in which to learn and to live. Gainesville has been ranked as one of the best cities to live in the United States.

Florida boasts a diversity of fauna and flora common to both southern temperate and subtropical climates and is replete with springs, rivers, backwater streams, lakes, freshwater and saltwater marshes, mangrove fringes, cypress swamps, hardwood hammocks, sandhills, scrub, pine flatwoods, and rangeland. Nested between the Atlantic Ocean and the Gulf of Mexico, Florida has more than 2,000 kilometers of coastal beaches and estuaries. Special features include the Florida Keys, which constitute an archipelago of picturesque subtropical islands, and the unique Everglades, or “river of grass,” which sprawls across the vast southern peninsula.

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.


  • 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:

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 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.

PhD position on computational models of collective escape of bird flocks 1.0 fte (217006H)


Founded in 1614, the University of Groningen enjoys an international reputation as a dynamic and innovative center of higher education offering high-quality teaching and research. Flexible study programmes and academic career opportunities in a wide variety of disciplines encourage the 30,000 students and researchers alike to develop their own individual talents. As one of the best research universities in Europe, the University of Groningen has joined forces with other top universities and networks worldwide to become a truly global center of knowledge.
The Groningen Institute for Evolutionary Life Sciences (GELIFES -
GELIFES, the largest institute of the Faculty of Mathematics and Natural Sciences (FMNS) fills a special niche in the life sciences by covering and integrating mechanistic, evolutionary and ecological approaches, aiming to understand adaptation on all levels of biological organisation. Researchers pursue fundamental questions while collaborating with partners from industry, medicine and other realms of society. Our research fields include behavioural biology, chronobiology, ecology, evolutionary biology, genetics and genomics, neurobiology, physiology and theoretical modelling, using a wide array of research tools. Research levels range from molecular and organismal to population and community, performed under laboratory, semi-natural and field conditions.

Job description

One of the advantages of group life, such as in birds, is increased protection against predation. Increased protection is, for instance, assured by the complex patterns of collective escape by bird flocks under attack. These patterns may confuse the predator. Collective behaviour of flocks is, however, difficult to investigate empirically. As a solution, the proposed project concerns the computational modelling of collective escapes. This is done with the help of empirical data collected by another PhD candidate using robot-falcons (RoboFalcons) for controlled attacks on flocks. The empirical study is aimed at driving flocks away in a specific direction for preventing collisions between flocks and airplanes. The PhD candidates will closely exchange data and results. The modelling project aims to gain understanding on what causes different patterns of collective escape under different conditions. For this, the PhD candidate will extend our computational model, StarDisplay, and may develop new models. The model will be informed by two empirical sources, namely, the experiments with RoboFalcons and the movies of huge starling flocks under attack by Peregrine falcons above Rome. The student will experiment with different escape strategies and attack strategies in the model to improve both understanding of the observations of patterns of collective escape and methods of driving flocks away.
Daily supervision will come from Prof. Charlotte Hemelrijk and Dr Hanno Hildenbrandt; Dr Colin Torney (Glasgow, UK) will co-supervise the project.


The successful candidate will have previous research experience in theoretical modelling, be in good command of the English language (oral and written) and possess excellent communication skills (indicated by the ability to write scientific papers and deliver presentations). Since studies on self-organisation are highly interdisciplinary, successful candidates are expected to demonstrate an active and supportive approach to inter-disciplinary research and collaborate with other group members. Suitable candidates can be either individuals with a background in the computational (life) sciences, with interest in evolutionary and biological questions, or evolutionary biologists with experience in computational modelling.

Candidates for the PhD position should have:

• MSc in theoretical biology, a MSc in computational science with focus on biology or an MSc in computational physics with specialization in biology, MSc in Artificial Intelligence with a specialization in an area of computational or mathematical biology or a MSc in Biology, with a specialization in an area of computational or mathematical biology
• experience with developing computer simulation code and a sufficient background in mathematics
• a strong interest in collective, swarming behaviour, biomechanics of flight, attack and escape.
Candidates with research experience in these areas are particularly encouraged to apply.

Conditions of employment

The University of Groningen offers a salary of € 2,191 gross per month in the first year, up to a maximum of € 2,801 gross per month in the final year (salary scale Dutch Universities), based on a fulltime position (1.0 fte) excluding a 8% holiday allowance and a 8.3% end of the year bonus. The position must result in a PhD thesis within the 4-year contract period. A PhD training programme is part of the agreement and the successful candidate will be enrolled in the Graduate School of Science. The successful candidate will first be offered a temporary position of one year with the option of renewal for another three years. Prolongation of the contract is contingent on sufficient progress in the first year to indicate that a successful completion of the PhD thesis within the next three years is to be expected.


Applications, including a letter of motivation, a curriculum vitae, a list of publications (if any), a list of examination marks, and the contact information of three academic referees, must be submitted online until 8 June / before 9 June 2017 Dutch local time by means of the application form (click on "Apply" below on the advertisement),
The position will remain open until filled. All applications received by 9 June 2017 will be given full consideration.
Unsolicited marketing is not appreciated.


For information you can contact:

  • Prof. Charlotte K. Hemelrijk, +31 50 3638084, ln.gur|kjirlemeh.k.c#ln.gur|kjirlemeh.k.c
  • (please do not use for applications)
  • Additional information
  • Behavioural & Physiological Ecology (BPE)
  • Hemelrijk group
  • TRÊS

5 PhD positions in ecology, biogeochemistry, paleolimnology, and modelling of northern lakes

In a five-year project, Climate change induced regime shifts in Northern lake ecosystems at Umeå University, Sweden, funded by the Knut and Alice Wallenberg Foundation, we are recruiting 5 postdocs (2-year fellowships) and 5 PhD students (4-year positions). Below we list each PhD position with a short title indicating the focus of the position, the name of the primary advisor, application deadline, and a web link to the full text of the advertisement.

Project description

Effects of climate change on ecological communities are expected to be particularly strong at northern latitudes. The collaborative project “Climate change induced regime shifts in northern lake ecosystems” addresses two major, climate-dependent drivers of northern lakes: (i) altered thermal regimes, and (ii) increased input of terrestrial dissolved organic matter (tDOM). In a series of interconnected work packages we will use experimental, comparative, paleo-ecological, environmental genomics and modeling approaches to study the impact of temperature and tDOM on ecosystem processes ranging from primary production and greenhouse gas dynamics to fish production and food web dynamics. We expect responses to these drivers to be highly nonlinear.

PhD positions

1. Modelling lake ecosystems (advisor Sebastian Diehl, deadline 9 March 2017)

2. Greenhouse gases in lakes (advisor Jan Karlsson, deadline 20 February 2017)

3. Effects of climate change on fish production (advisor Pär Byström, deadline 20 February 2017)

4. Primary production in lakes (advisor Ann-Kristin Bergström, deadline 20 February 2017)

5. Long term climate and environmental changes (advisor: Richard Bindler, deadline 20 February 2017)

Posted by es.umu|lheid.naitsabeS#es.umu|lheid.naitsabeS

Ph.D. Position: Modeling Ecological-Evolutionary Dynamics of Soil Food Webs

Prof. David H. Wise, University of Illinois at Chicago (UIC), has an opening beginning Fall of 2017 for a Ph.D. student to conduct research on ecological-evolutionary processes in soil food webs in collaboration with Dr. Jordi Moya-Laraño. The doctoral student will participate in research with the Individual-Based Model Weaver created by Dr. Moya-Laraño, Estación Experimental de Zonas Áridas, and his collaborators at the University of Almería, Spain. The recently created Weaver is a spatially explicit simulation platform (now implemented in C++) to test eco-evolutionary hypotheses about complex ecological networks.

The student will earn the Ph.D. through the Ecology & Evolution graduate program in the UIC Department of Biological Sciences. Most of the research will be conducted in Chicago, but the student also will be expected to travel to Spain in order to work directly with Dr. Moya-Laraño and his colleagues at some time during the project.

For more information and background on the project visit the Wise Lab website,

Quantitative skills and basic knowledge of ecology and evolution. Training in quantitative ecology and ecological/evolutionary modeling, statistics, and experience with the computing language R expected. Facility with C++ is desirable but not required. M.S. degree in ecology, computer science or statistics desired, but outstanding applicants without a Master’s degree with the required background will be considered.

Application process
Interested students should email Prof. Wise (ude.ciu|esiwhd#ude.ciu|esiwhd) a detailed cover letter describing qualifications and interest in the research project, CV, unofficial academic transcripts, and contact information for three references. Prof. Wise will then ask applicants with the necessary background to apply to the Ecology and Evolution doctoral program in the Department of Biological Sciences at UIC. The application deadline is 1 December, but later applications will be given full consideration. However, application folders need to be complete by 15 January to be considered for financial aid.

David H. Wise
Professor of Ecology and Evolution,
Department of Biological Sciences
Assoc. Director, Institute for Environmental Science & Policy
Chicago, IL 60607

PhD position in metapopulation dynamics and population genomics

One PhD position are available in the Pinsky Lab at Rutgers University to study demography and metapopulation dynamics in clownfishes. The research is based in the Philippines and builds from six years of demographic and population genomic data. Key themes across both positions include understanding mechanisms of persistence in ecological networks by integrating massively parallel DNA sequencing with ecological field studies. Both positions will also work closely with Will White at U. North Carolina – Wilmington on theoretical and modeling aspects of the research. Research in the Pinsky Lab broadly uses empirical data, mathematical models, and population genomics to study global change in the coastal ocean.

One (1) graduate assistant position is open, preferably for a Ph.D. degree:

1) Metapopulation dynamics graduate assistant: The GA will lead research on marine demography using field observations and experiments combined with population genomics. Possible topics include, but are not limited to, dispersal, density-dependence, reproduction, survival, thermal physiology, species interactions, and landscape ecology. Projects could involve a mix of field work, genomic wet lab work, bioinformatics, and ecological modeling. This position has five (5) years of guaranteed funding.

The ideal candidates will be skilled with data analysis, statistics, ecological modeling, and databases (or a strong aptitude for learning these skills, in the case of the GA). Applicants with evidence of creativity, productivity, strong oral and written communication abilities, and enthusiasm are especially encouraged to apply, particularly those that bring a new perspective, new ideas, or a new skillset to the team. The successful applicant will be an independent, motivated problem solver who communicates well and enjoys working in a collaborative setting. Rutgers and the surrounding area provide an exciting intellectual environment, including the Department of Ecology, Evolution, and Natural Resources; the Department of Marine and Coastal Sciences; the Institute of Earth, Ocean, and Atmospheric Sciences; the Genome Cooperative; the NOAA Geophysical Fluid Dynamics Lab; the Princeton Environmental Institute; the Center for Discrete Mathematics and Theoretical Computer Science; and beyond.

Application process
The GA will begin in summer or fall 2017. Review of GA applications will continue on a rolling basis until December 2016.

GA applicants should include a 1-2 page cover letter describing their interests, CV, a recent transcript, GRE scores, and contact information for three references. Qualified GA candidates will be contacted and encouraged to apply to the graduate program in either Ecology & Evolution ( or Oceanography (, depending on student interests. Ph.D. applications to Rutgers are due in December.

Please submit all materials to ude.sregtur|yksnip.nilam#ude.sregtur|yksnip.nilam with “Graduate application 2016” as the subject.

Malin Pinsky
Assistant Professor
Department of Ecology, Evolution, and Natural Resources
Institute of Earth, Ocean, and Atmospheric Sciences
Rutgers University
New Brunswick, NJ 08901

PhD position in climate change ecology and evolution

One PhD position is available in the Pinsky Lab at Rutgers University to work on climate change ecology and evolution in marine ecosystems (see also our ad for three postdoc positions in the same area). Broadly, research in the Pinsky Lab uses empirical data, mathematical models, and population genomics to study global change in the coastal ocean.

Key themes for the position include understanding the ecological and evolutionary processes that determine how climate variability and climate change filter through ocean communities to affect human behavior and the success or failure of conservation efforts. The student will join a national network of collaborators across marine science, climate science, fisheries, economics, and sociology, including Josh Abbott (Arizona State U.), Andre Punt (U. Washington), Dan Holland and Melissa Poe (NOAA).

One (1) graduate assistant position is open, preferably for a Ph.D. degree:

1) CNH Graduate Assistant: The GA will use statistical and process-based models to understand the mechanisms linking climate variability to marine animal population dynamics in the California Current large marine ecosystem, including recruitment and distribution. The GA will also be part of a broader NSF-funded team studying coupled social-ecological dynamics and feedbacks from physics to fish to people.

The ideal candidate will be skilled with data analysis, statistics, and ecological modeling (or a strong aptitude for learning these skills, in the case of the GA). Applicants with evidence of creativity, productivity, strong oral and written communication abilities, and enthusiasm are especially encouraged to apply, particularly those that bring a new perspective, new ideas, or a new skillset to the team. For postdoctoral applications, a promising record of publication is highly valued. The successful applicants will be independent, motivated problem solvers who communicate well and enjoy working in a collaborative setting.

The positions will be based at Rutgers with extensive opportunities for research visits across campuses, including U. Washington and NOAA offices. Additional opportunities are available to interact with scientists at the Institute of Earth, Ocean, and Atmospheric Sciences; the Geophysical Fluid Dynamics Lab; the Princeton Environmental Institute; the Center for Discrete Mathematics and Theoretical Computer Science; and beyond.

Application process

The GA will begin in summer or fall 2017. Review of GA applications will continue until December 2016, when applications to Rutgers graduate programs are due.

GA applicants should include a 1-2 page cover letter describing their interests, CV, a recent transcript, GRE scores, and contact information for three references. Qualified GA candidates will be contacted and encouraged to apply to the graduate program in either Ecology & Evolution ( or Oceanography (, depending on student interests. Ph.D. applications to Rutgers are due in December.

Please submit all materials to ude.sregtur|yksnip.nilam#ude.sregtur|yksnip.nilam with “Graduate application 2016” as the subject.

Malin Pinsky
Assistant Professor
Department of Ecology, Evolution, and Natural Resources
Institute of Earth, Ocean, and Atmospheric Sciences
Rutgers University
New Brunswick, NJ 08901


Ph. D. position with Jeff Houlahan’s lab in the Department of Biological Sciences/The Canadian Rivers Institute, University of New Brunswick Saint John (UNB Saint John).

The Houlahan lab is looking for a Ph.D. student interested in fundamental questions in population and/or community ecology to begin in the fall of 2017 (although later start dates could be negotiated). We are happy to hear from students with a wide range of interests - some examples of topics include (i) the relationship between diversity and stability, (ii) the relative importance of density dependent effects on population dynamics, and (iii) the stability of competitive hierarchies in nature but we are less concerned about the question than the approach. The approach would involve developing theoretical and/or statistical models that would then be tested on new data (see Houlahan et al. 2017 in Oikos) to assess the predictive ability of those models and how predictive ability changes over time and space. The successful applicant will have strong quantitative skills, and more particularly, be somebody who is comfortable analyzing data and modeling in something like R or Python. Students will have an opportunity to improve their analytical and modeling skills, become better grounded in basic ecology theory, and improve writing, logical thinking and problem-solving abilities. We are interested in ecology, environmental science, computer science and/or mathematics students. Funding of at least $21,000/year is guaranteed for 4 years and comes from TA’ships, RA’ships and scholarships.

The University of New Brunswick is a comprehensive university with campuses in Saint John and Fredericton, New Brunswick, Canada with approximately 10,000 students. The Houlahan lab is part of the Department of Biological Sciences and The Canadian Rivers Institute at the Saint John campus. This is a vibrant department with a focus on aquatic and marine biology and more than 50 graduate students. Saint John is a small (pop – 68,000) attractive, coastal city in southern New Brunswick.

If you are interested in the position drop me a note at ac.bnu|luohffej#ac.bnu|luohffej and attach your cv, transcripts (unofficial or official) and 3 references with contact info.

Expiry date: July 1, 2017.

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