Big Data Scientist Postdoctoral Scholar

Location
http://johnmuir.ucdavis.edu/
Salary
Annual salary $ 50,000 plus benefits
Posted
Jul 18, 2017
Closes
Aug 17, 2017
Career Level
Student / Graduate
Education Level
PhD
Job Type
Internship
Relocation Cost
No Relocation
Sector Type
Academia

BIG DATA SCIENTIST – POSTDOCTORAL SCHOLAR POSITION # 827985

Under the direction of the Director of the John Muir Institute of the Environment (JMIE), the incumbent will advance cutting-edge data analysis (“Big Data”) techniques as applied to climate change, sustainability and coupled human environmental systems. 

Topics relevant to the consequences of widespread transformation of Earth’s biogeochemical cycles, biodiversity declines, water quality and quantity, sustainable (and scalable) energy systems, efficacy of resource management practices and government policy, coupled social-environmental systems, social networks, and institutional resilience are all open to inquiry.

Applicants with a strong background in data science, computer science, advanced algorithm development and environmental sustainability science will be given high priority. Demonstrated experience in a range of computer coding languages, advanced statistics, machine-leaning, GIS, data processing/acquisition and image recognition and visualization techniques are highly desired. Priority areas include analysis of collaborative climate change science networks, with particular focus on developing new visualization techniques and predicting for human health/environment interactions via a combination of disparate data sets and novel pathways of data-driven discovery.  This position will be both methodological and applications focused. 

The role of this position is under the campus-wide initiative lead by JMIE to partner with Elsevier, a global information analytics company, helping advance climate and environmental sustainability science.

RESPONSIBILITIES:

Advance data-analysis and inquiry, expanding and building new software and analytics tools especially with Elsevier and UC Davis faculty, mining data repository.

Build algorithms and analysis using complete data sets, seeking emerging patterns interfacing of human health, environment, and climate.

In concert with Elsevier, develop new algorithms, data analytics, and metrics for web-based, image recognition software of past-publicized data sets.

Lead interdisciplinary teams across JMIE or campus wide project-based initiatives. Work with researchers in the medical, law, environmental, energy, engineering, and climate science fields.

QUALIFICATIONS:

Earned doctorate degree in relevant technical, science, social science, or interdisciplinary field such as information, information science, statistics, computer science, or engineering.

Superior academic performance and public record; the ability to be self-directed with broadly-defined limits on assignments.

Excellent analytic skills.

Experience with a statistical package such as R, MATLAB, SPSS, SAS, Tata, etc.

Experience with data sets and distributed computing (i.e., Hive/Hadoop).

Experience in SQL or other programming languages.

Demonstrated ability to interact efficiently with diverse people in a highly multidisciplinary environment.

Demonstrated ability to foster interdisciplinary relations, projects and outcomes.

Experience in using a number of programming languages/tools.

PHYSICAL DEMANDS:

Lift and move office materials weighing up to 30lbs. On occasion, may work on evenings and weekends to meet operational needs and deadlines. Limited leave during critical deadlines.

WORK ENVIRONMENT:

Affirmative Action/Equal Opportunity Employer.

Work in busy cubicle with co-workers and frequent interruptions.

UC Davis is a smoke and tobacco free campus effective January 1, 2014. Smoking, the use of smokeless tobacco products, and the use of unregulated nicotine products (e-cigarettes) will be strictly prohibited on any property owned or leased by UC Davis indoors and outdoors including parking lots and residential space.

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