Skip to main content

Human Dimensions of Climate Change Data Scientists (Associate Specialists) Environmental Markets Lab (emLab), Bren School of Environmental Science and Management

Position overview

Position title: Human Dimensions of Climate Change Data Scientists
Percent time: 100%
Anticipated start: Start date is negotiable, but ideally no later than February 15, 2023
Position duration: Appointment for 1 year from start date, with possibility for additional year(s) of employment contingent upon performance and funding.

Application Window

Open date: December 5, 2022

Most recent review date: Wednesday, Jan 4, 2023 at 11:59pm (Pacific Time)
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Wednesday, May 31, 2023 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

Position description

The Environmental Markets Lab (emLab) is seeking up to two highly motivated Associate Specialists to conduct research and analyses on a variety of projects investigating the global impacts of climate change on human wellbeing. The research projects include, but are not limited to, estimating the global mental health burden of current climate changes, predicting the effects of future warming on malaria incidence in sub-Saharan Africa, identifying water scarcity “hotspots” in climate-stressed agricultural regions, and deriving actionable estimates of the equity implications of climate change at community scale. All projects are data-driven and many involve using and/or generating remotely sensed measures of social and/or environmental metrics. The Associate Specialists will be responsible for a variety of tasks including preparing, processing, synthesizing, and visualizing spatial, administrative, and remotely sensed data; conducting statistical, econometric, and machine learning analyses on large datasets; contributing to the drafting of academic manuscripts and presentations; and developing efficient and reproducible workflows to implement best practices for data acquisition and analysis.

emLab is an interdisciplinary team of scientists based at UC Santa Barbara that conducts cutting-edge, data-driven research on the power, limitations, and design of market-based approaches to tackle the world's most pressing environmental problems. In collaboration with implementing partners, emLab aims to better align environmental objectives and economic incentives in support of sustainable livelihoods and a resilient planet.

The successful candidates will have strong quantitative skills, an ability to work and problem solve independently, a creative and solutions-oriented mindset, and the ability to effectively communicate scientific results to stakeholders, scientists, and policymakers.

Salary and Benefits: Human Dimensions of Climate Change (Associate Specialists) positions with salary step commensurate with qualifications. Full benefits package included.

The positions are available immediately.

Positions will be open until filled.

The University is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching and service.

Qualifications

Basic qualifications (required at time of application)

Bachelor’s degree in computer science, economics, environmental science and management, data science, statistics, or a related field at the time of application.

Additional qualifications (required at time of start)

● At least 5 years of professional experience providing analytical research support to projects related to environmental science and management, data science, economics, or a related field;

OR

● A Master’s degree in computer science, economics, environmental science and management, data science, statistics, or a related field at the time of appointment.

Preferred qualifications

● Excellent quantitative skills including experience collecting, managing, processing, and analyzing large datasets, including spatial data, satellite imagery, and other remotely sensed products;
● Proficiency with coding languages such as R and/or Python and experience working with GitHub;
● Experience using cloud computing resources and/or high performance computing clusters;
● Familiarity with the application of machine learning methods to remotely sensed data;
● Ability to synthesize and communicate scientific methods and results to a variety of partners and stakeholders;
● Excellent creative problem solving and troubleshooting skills;
● Excellent verbal and written communication skills;
● Ability to take initiative, self manage, and work independently as well as collaboratively as part of a multidisciplinary team;
● Exceptional attention to detail and strong organizational and time management skills.

Application Requirements

Document requirements
  • Curriculum Vitae - Your most recently updated C.V.

  • Cover Letter

Reference requirements
  • 3-5 required (contact information only)

The search committee will contact references of the top candidate(s) after the interviews. After references are checked, a top candidate will be chosen.

Apply link: https://recruit.ap.ucsb.edu/JPF02391

Help contact: kellykeogh@ucsb.edu

Campus Information

The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

As a condition of employment, you will be required to comply with the University of California Policy on Vaccination Programs – With Updated Interim Amendments. All Covered Individuals under the policy must provide proof of receiving the COVID-19 Vaccine Primary Series or, if applicable, submit a request for Exception (based on Medical Exemption, Disability, Religious Objection, and/or Deferral based on pregnancy or recent COVID-19 diagnosis and/or treatment) no later than the applicable deadline. All Covered Individuals must also provide proof of receiving the most recent CDC-recommended COVID-19 booster or properly decline such booster no later than the applicable deadline. New University of California employees should refer to Exhibit 2, Section II.C. of the SARS-CoV-2 (COVID-19) Vaccination Program Attachment for applicable deadlines. All Covered Individuals must also provide proof of being Up-To-Date on seasonal influenza vaccination or properly decline such vaccination no later than the applicable deadline. Please refer to the Seasonal Influenza Vaccination Program Attachment. (Capitalized terms in this paragraph are defined in the policy.) Federal, state, or local public health directives may impose additional requirements.

Job location

Santa Barbara, CA