M.Sc. opportunities

(announcement on 20th April 2016)

Two scholarships for international students in the MSc program in Geoinformatics at ifgi

The Institute for Geoinformatics, University of Münster, offers two scholarships to international (non-German) students in the MSc program in Geoinformatics. 

More information here: 

http://www.uni-muenster.de/Geoinformatics/en/Studies/study_programs/master/

Deadline of applications (by EU and non-EU applicants): May 31st, 2016

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Project title: Spatial ecology of seaducks in relation to key habitats in southern New England by the University of Rhode Island.

A graduate assistantship is available at the M.Sc. or Ph.D. level to study the distribution, abundance, and movement patterns of selected seaducks in offshore habitats in southern New England during the bird’s winter and staging periods. Satellite radiotelemetry will be combined with extensive boat-based and aerial-based surveys to determine:

(a) current distribution and movement patterns of seaducks in southern New England’s nearshore and offshore waters,

(b) the temporal pattern of these movements in relation to key offshore habitats,

(c) the route and destination of sea ducks departing Rhode Island and migrating to their breeding areas, and

(d) how daily movement patterns and habitat use of 
seaducks affects the designation of offshore areas suitable for wind turbine placement. 

This study is part of a larger university-state agency-federal agency collaborative effort to designate offshore areas suitable for wind turbine placement while attempting to minimize or avoid impacts to key natural resources.

Qualifications: Only hard-working, motivated, intelligent, good-natured persons interested in seaducks need apply. Applicants must have completed an undergraduate degree in animal/wildlife biology or ecology, earned at least a 3.2 GPA, must have taken the GRE, and must have excellent oral and written communication skills.  Field experience with seabird capture and handling, techniques for censusing seabirds, radiotelemetry, and GIS is highly desirable.  Experience with quantitative analysis and field research is required. Ability to work collaboratively and to supervise research assistants and undergraduates working in the field is also required.  Stipends are approx. $25,000/yr and tuition is paid.

Starting date is September 2015 or January 2016.

To apply submit the following: a letter stating your qualifications and research interests, a resume or CV, college transcripts, GRE scores, and 3 letters of reference by no later than 2 April 2015 (early application is encouraged) to:

Dr. Scott R. McWilliams & Dr. Peter Paton

Dept. Natural Resources Science, University of Rhode Island, Kingston, RI 02881 401-874-7531; srmcwilliams@uri.edu & ppaton@uri.edu

Graduate students will choose to be trained in the Ecology & Ecosystem Science graduate program (http://web.uri.edu/cels-gradprograms/ees/) or the Integrative & Evolutionary Biology graduate program (http://web.uri.edu/cels-gradprograms/ieb/) at URI. These are interdepartmental graduate groups within our College of the Environment and Life Sciences (http://web.uri.edu/cels/) that are designed to provide students with a strong, interdisciplinary and integrative learning environment. 

Selected candidates will be asked to apply to the Graduate School of University of Rhode Island.

(Source: ECOLOG-L)

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45 available Fee Scholarships for M.Sc. programme

(Source: John Murray, Ph.D. Candidate, Lancaster University)
Lancaster University has 45 full fee scholarships for MSc programmes in Data Science starting in 2014. 
The one-year MSc programmes 3 pathways, covering data science fundamentals, and allowing for specialism in Statistical Inference, Computing and Data Science for the Environment. 
If you join the programme you will also receive:

- Opportunity to apply for one of 45 available Fee Scholarships 
- Industry placement and experience
- Access to a dedicated high-performance computing cluster
- Excellent career prospects 

Details on entry requirements, how to apply, or who to talk to for more information can be found on the Lancaster University website. Further programme details can be found at www.lancaster.ac.uk/data-science .