My name is Dr. Valerie PrettyPaint-Small, a soon-to-be graduate from the Department of Bioagricultural Sciences & Pest Management/Weed Sciences Division. I'm currently looking for teaching and/olr research (non-field based) for the summer months (June-August). My dissertation work on the Crow Indian Reservation is interdisciplinary, linking Ecology, American Indian Land Policy, GIS Spatial Modeling and Crow Culture (ethnobotany approach). I have taught basic biology courses, ecology, plants & environment, and various plant science and Native American Studies courses at the University and Tribal College level. Thank you in advance for your consideration.
Name: Valerie PrettyPaint-Small
Address: 327 N Loomis Avenue
City: Fort Collins
The Department of Earth & Environmental Science at the University of Pennsylvania seeks applicants for a one-year full-time Lecturer position for the academic year 2013-2014, with a target start date of August 1, 2013. The position is ideal for an early-career Earth scientist interested in strengthening their teaching experience while maintaining an active research program. The candidate is expected to teach three courses over two semesters, which may include introductory courses in either Natural/Environmental/Geologic Hazards, Oceanography or Paleontology, a mid-level course in Case Studies in Environmental Science/Studies, and/or a senior undergraduate/graduate course in their area of expertise. The candidate will also be expected to advise students in senior research thesis projects. A PhD in Earth science, geology or a related field is required.
Include a cover letter, CV, and the names and contact information of three referees who have agreed to provide letters of reference. The University will contact the referees with instructions on how to submit their letters. Applications will be accepted and reviewed until the position is filled.
The Earth & Environmental Science Department is committed to Penn’s Action Plan for Faculty Diversity and Excellence and to establishing a diverse faculty (for more information see):
The University of Pennsylvania is an Affirmative Action/Equal Opportunity employer.
The Department of Natural Sciences at the Oregon Institute of Technology (Oregon Tech) invites applications for a 12-month, annually renewable, non-tenure track position in biology-ecology at the rank of Assistant Professor. The selected candidate will instruct introductory and upper-division courses in biology-ecology (0.5 FTE) and will serve as the Science Coordinator at the Crater Lake National Park Science and Learning Center (0.5 FTE). Start date is negotiable, with preference for summer or fall 2013.
Instructional duties will directly support B.S. programs in Environmental Sciences and Biology-Health Sciences, as well as dual major programs in Civil Engineering/Environmental Sciences and Renewable Energy Engineering/Environmental Sciences. This position will teach and advise student research projects in a new emphasis track in Biological Resources within the Environmental Sciences Program. Science Coordinator duties for the Crater Lake National Park Science and Learning Center (SLC) include identifying and addressing research needs and applications in science and technology, facilitating and coordinating studies by external investigators, and working to develop public involvement in the exploration and survey of natural resources at Crater Lake National Park.
During the regular academic year (mid-September through mid-June), this position is primarily located at the Oregon Tech campus in Klamath Falls. During the summer, this position is primarily stationed in Crater Lake National Park, approximately one hour's drive north of Klamath Falls. The area occupies an ecotone between the Cascade Mountains and the northwestern Great Basin and is widely recognized for its remarkable mountain and lake scenery, outdoor recreation opportunities, geothermal resources, and overall livability.
A Ph.D. in biology, ecology, environmental sciences, or a closely related field is preferred. Ideal candidates will have established records of effective university-level teaching, as well as professional experience working for one or more public resource management agencies. Preference will be given to applicants with teaching or applied research specialties that complement existing strengths in watershed science, GIS, and sustainable technologies, including forest or wildlife ecology, biogeography, and/or ecological sustainability. Experience integrating GIS and remote sensing datasets with field surveys is desirable. Preference will be given to applicants with experience advising student research, coordinating multiple research projects, working with diverse groups to achieve multi-institutional science and learning goals, and/or obtaining and implementing grants or other sources of extramural funding.
Screening of applications will begin immediately and continue until the position is filled. To apply, electronically submit a cover letter, curriculum vita, statement of teaching interests and philosophy, the names, email addresses and phone numbers of three references, and copies of degree-related transcripts to firstname.lastname@example.org. Requisition # 13-66015. Application material may also be mailed to Oregon Tech Office of Human Resources, 3201 Campus Drive, Klamath Falls, OR 97601 or faxed to(541) 851-5200. For more information, please visit the Oregon Tech website atwww.oit.edu and the Environmental Sciences Program (www.oit.edu/programs/klamath-falls/environmental-sciences/overview) and the Crater Lake National Park Website at http://www.nps.gov/crla/index.htm. You can also contact search chair Dr. Michael L. Hughes at541-885-1642 email@example.com
A 24 months of postdoc or engineer levels position is available at INRA Val de Loire (Orléans, France), funded in the framework of the EU FP7 TREES4FUTURE project. Our ideal starting date is June 2013, but both earlier and later dates are eventually possible.
Background: Our team has long research experience in genetics, biometry and tree physiology, as well as in conducting breeding programmes for several of the main forest tree species in France, including conifers and broadleaves. This research is highly integrated with other teams at European level, as our team is leader in 3 large European collaborative projects dealing with forest tree improvement within the FP7. One of these projects is TREES4FUTURE, in which integrative efforts are aimed at developing modeling and statistical tools for the forestry community.
Aims of the project: The objective is to develop from open sources exclusively a ready-to-use statistical suite in R (R Core Team 2012), specifically designed for and by forest scientists and breeders in TREES4FUTURE. At the end of the project, it will be made publicly available to the research community. This suite will comprise a collection of modules for the estimation of causal components of phenotypic (co)variation and for the prediction of individual performances, both under a wide range of experimental settings. All the proposed modules aim at improving statistics beyond what is currently attainable from classical approaches.
Scientific program: Source codes, mostly written in FORTRAN, will be made available at the beginning of the contract. A substantial part of the development (9 months) will be taken by the implementation of a general mixed-model module, including Frequentist and Bayesian approaches, from those source codes. This module will be at the core of a system, which comprises other task-specific modules to be developed subsequently from source codes. These modules include: i) a spatial statistics module to fit models that account for environmental components of heterogeneity within trials; ii) a competition module to fit models accounting for direct and associative effects in experimental setups; iii) a pedigree-free evaluation module to fit evaluation models that incorporate a realized matrix of additive relationships from molecular markers; iv) a genotype-by-environment module to diagnose and assess the interaction terms of varieties that are tested across environmental gradients; and v) a breeding module for multiple-trait gain predictions. The elaboration of this latter module is expected to take the last third of the duration of the contract.
The successful candidate will devise efficient architectures for each of the modules, and optimal integration into the R environment. Many codes will need substantial adaptation for them to intercommunicate and be flexible for the user. Those routines computationally demanding will be made reachable from R via libraries of pre-compiled functions. The candidate's interests and backgrounds can have a considerable influence on the scope of the project, with room for developing own ideas and approaches. The project will provide several opportunities for traveling to some foreign institutions to facilitate the contact with experts. A beta-testing community of more than 12 partners within and beyond TREES4FUTURE will work closely with the successful candidate for improving the final suite.
Skills: The successful candidate will have a strong background in statistics, able to understand and code matrix algebra. Holding a PhD in mathematical related subjects is an advantage, but not a prerequisite, and experience with biometrical analyses is a definite plus. She/he will excel at programming, and experience in computing under various environments will be helpful. We expect from the successful candidate to be independent, dedicated, creative, and with strong collaborative skills.
To apply: please send a letter of motivation, a CV, a publication list, contact details of 3 referees to firstname.lastname@example.org . Reviewing of applications will start on May 31st, but extra applications will be considered until the position is filled.