The Humanitarian Assistance & Disaster Relief Systems Group develops, adapts, and deploys advanced technologies to address the most significant challenges in humanitarian assistance, disaster relief, global development, community resilience, and climate change. We extend rapidly evolving technical capabilities - such as remote sensing and signal processing techniques, data science, software tools, and systems analysis - to under-served mission needs across the domestic and international landscape. Recent program efforts have included:
Integrating advanced remote sensing and situational awareness technologies in to large-scale disaster relief and recovery needs
Applying novel analytical methods - including artificial intelligence and machine learning - to longstanding humanitarian challenges, especially in sparse and challenging data environments
Creating software decision support and data visualization platforms for critical decision-making
Job Description
The Humanitarian Assistance & Disaster Relief Systems Group develops, adapts, and deploys advanced technologies to address the most significant challenges in climate change, biodiversity, global development, and human resilience systems, including humanitarian assistance and disaster relief. We extend rapidly evolving technical capabilities - such as remote sensing and signal processing techniques, data science, software tools, and systems analysis - to under-served mission needs across the domestic and international landscape. Recent program efforts have included:
Integrating advanced remote sensing and situational awareness technologies in to large-scale disaster relief and recovery needs
Applying novel analytical methods - including artificial intelligence and machine learning - to longstanding humanitarian challenges, especially in sparse and challenging data environments
Creating software decision support and data visualization platforms for critical decision-making
Our Group is actively seeking remote sensing, data exploitation, and algorithm development specialists and engineers to join interdisciplinary teams on the research, design, development, and implementation of technologies in these areas. The collection of mission and technical areas that we support is quite broad, and we recognize that successful candidates may come with a similarly wide range of technical backgrounds and extracurricular experiences:
Requirements
Deep understanding of foundational theories in geography/geoscience is required
Extensive practical experience in advanced geospatial analyses is required
Understanding the theory of, and experience developing, decision support systems is required
Experience within the domain of computational epidemiology, specifically social network analysis and agent-based simulations
Experience with modern geographic information systems (GIS) and supporting database infrastructure such as POSTGIS is required
Extensive practical experience in developing algorithms for spatial partitioning and routing
Familiarity with developing risk metrics
Experience with scientific programming languages and tools (Python, MATLAB, etc.) is required, including geospatial libraries (e.g. GeoPandas)
Experience with machine learning and algorithm development is required
Experience with large language models required (developing applications using LLMs and research on LLMs)
Exceptionally relevant field, lab, or extracurricular experience will be well considered
Proven ability to work collaboratively with a multidisciplinary team
A PhD in a relevant technical field. In lieu of this, an MS with 5+ years or a BS with 10+ years of directly related experience will be considered. Exceptionally relevant experience will be taken into account
At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include:
Comprehensive health, dental, and vision plans
MIT-funded pension
Matching 401K
Paid leave (including vacation, sick, parental, military, etc.)
Tuition reimbursement and continuing education programs
Mentorship programs
A range of work-life balance options
... and much more!
Please visit our Benefits page (https://hr.mit.edu/benefits) for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks (https://hr.mit.edu/benefits/additional) .
Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.
MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.
Requisition ID: [[id]]
#LI-CA1
S:SKGEO
