The International Society for Bayesian Analysis
Tenure – Track Faculty Positions in Computing for Health of the Planet
The International Society for Bayesian Analysis, Cambridge, Massachusetts, us, 02140
Tenure – Track Faculty Positions in Computing for Health of the Planet
Tenure – Track Faculty Positions in Computing for Health of the PlanetMassachusetts Institute of TechnologyDepartment of Mechanical Engineering and Schwarzman College of ComputingCambridge, MAThe Massachusetts Institute of Technology (MIT) Department of Mechanical Engineering togetherwith the Schwarzman College of Computing seeks candidates for tenure-track faculty positions inComputing for Health of the Planet to start July 1, 2022 or on a mutually agreed date thereafter. Thesearch is for candidates to be hired at the assistant professor level; under special circumstances,however, an untenured associate or senior faculty appointment is possible, commensurate withexperience.The health of the planet is one of the most important challenges facing humankind today. The needfor a sustainable planet demands integrated research efforts that develop novel fundamentalmodeling, computation, machine learning and AI methods with technological innovation. A creativemens et manus approach is essential to ensure the health and security of our environment.We seek candidates who have skills in computing and data-driven science and engineering, forapplications and solutions related to the health of the planet.Topics include but are not limited to:Intelligent environmental monitoring and forecasting, e.g., fundamental and applied researchin integrating dynamical models, machine learning, and physical systems for sensing,forecasting, and risk assessment of environmental hazards, such as sea-level change, floodingevents, coastal pollution, heat waves, biodiversity threats, and adverse effects on human health.AI-driven solutions for climate change mitigation and adaptation, e.g., computational androbotic systems, integrated smart sensors and dynamics, and deep learning methods toexplore, utilize and protect our environment.Sustainable mobility and transportation, e.g., use of data for estimation, prediction,autonomy, or control relevant to autonomous vehicles, clean transports, and oceanenvironments and systems.Resilient solutions for clean air, usable water, and food, e.g., use of data-driven models andAI-embedded engineering for clean filtration, desalination, water management, smartirrigation, digital agriculture, sustainable aquaculture, clean harvesting, and food security.Computing for sustainable and renewable energy, e.g., computational and data-drivenapproach for energy conversion with renewable storage, efficient carbon capture, smart powersystems, low emission propulsion, green buildings.Smart sustainable manufacturing and design, e.g., computing and data-driven processdevelopment, control, and optimization; discovery of new materials; AI-based design ofdevices, structures and systems that are energy-efficient, promote reuse and recycling ofmaterials, reduce consumption, or otherwise mitigate climate change and environmentalimpact on the planet.Candidates should possess fundamental skills in one or more of the following areas: learning fordynamics, nonlinear dynamical systems, closure models, computational modeling, scientific machinelearning, high dimensional statistics and optimization, science of autonomy, intelligent systems,smart sensing, computing devices, decision theory, risk analysis, and data-driven science andengineering.The Department of Mechanical Engineering and the Schwarzman College of Computing (SCC) arecommitted to fostering interdisciplinary research that can address grand challenges facing oursociety. We are especially interested in qualified candidates who can contribute, through theirresearch, teaching, and/or service, to the diversity and excellence of the academic community. Weseek candidates who will provide inspiration and leadership in research, contribute proactively toboth undergraduate and graduate level teaching in the Mechanical Engineering department and SCC.The successful candidate would have a shared appointment in both the Department of MechanicalEngineering and also the Schwarzman College of Computing, in either the Department of ElectricalEngineering and Computer Science (EECS), or in the Institute for Data, Systems, and Society (IDSS).Candidates can also become members of the Center for Computational Science and Engineering(CCSE) and of other groups at MIT.Faculty duties include teaching at the undergraduate and graduate levels, advising students,conducting original scholarly research and developing course materials at the undergraduate andgraduate levels. Candidates must hold a Ph.D. in Engineering, Physics, Data Science, ComputerScience, or Applied Mathematics or a similar discipline by the beginning of employment.Applications must include a cover letter, curriculum vitae, 2–3 pages statement that explicitlyhighlights how their research has and/or will contribute to the health of the planet, as well ascorresponding teaching interests and goals. In addition, candidates should provide a statementregarding their views on diversity, equity, inclusion, and belonging, including past and currentcontributions as well as their vision and plans for the future in these areas. Approaches to fosteringan inclusive environment including but not limited to teaching, mentoring, and affirming diverseviewpoints, are encouraged to be discussed. They should also provide copies of no more than threepublications. They should also arrange for four individuals to submit letters of recommendation ontheir behalf. This information must be entered electronically at the following site:by December 15, 2021 when review of applications will begin.MIT is an equal opportunity employer. We value diversity and strongly encourage applications from individuals from all identities and backgrounds. All qualified applicants will receive equitable consideration for employment based on their experience and qualifications, and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin. MIT’s full policy on Nondiscrimination can be found here.
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Tenure – Track Faculty Positions in Computing for Health of the PlanetMassachusetts Institute of TechnologyDepartment of Mechanical Engineering and Schwarzman College of ComputingCambridge, MAThe Massachusetts Institute of Technology (MIT) Department of Mechanical Engineering togetherwith the Schwarzman College of Computing seeks candidates for tenure-track faculty positions inComputing for Health of the Planet to start July 1, 2022 or on a mutually agreed date thereafter. Thesearch is for candidates to be hired at the assistant professor level; under special circumstances,however, an untenured associate or senior faculty appointment is possible, commensurate withexperience.The health of the planet is one of the most important challenges facing humankind today. The needfor a sustainable planet demands integrated research efforts that develop novel fundamentalmodeling, computation, machine learning and AI methods with technological innovation. A creativemens et manus approach is essential to ensure the health and security of our environment.We seek candidates who have skills in computing and data-driven science and engineering, forapplications and solutions related to the health of the planet.Topics include but are not limited to:Intelligent environmental monitoring and forecasting, e.g., fundamental and applied researchin integrating dynamical models, machine learning, and physical systems for sensing,forecasting, and risk assessment of environmental hazards, such as sea-level change, floodingevents, coastal pollution, heat waves, biodiversity threats, and adverse effects on human health.AI-driven solutions for climate change mitigation and adaptation, e.g., computational androbotic systems, integrated smart sensors and dynamics, and deep learning methods toexplore, utilize and protect our environment.Sustainable mobility and transportation, e.g., use of data for estimation, prediction,autonomy, or control relevant to autonomous vehicles, clean transports, and oceanenvironments and systems.Resilient solutions for clean air, usable water, and food, e.g., use of data-driven models andAI-embedded engineering for clean filtration, desalination, water management, smartirrigation, digital agriculture, sustainable aquaculture, clean harvesting, and food security.Computing for sustainable and renewable energy, e.g., computational and data-drivenapproach for energy conversion with renewable storage, efficient carbon capture, smart powersystems, low emission propulsion, green buildings.Smart sustainable manufacturing and design, e.g., computing and data-driven processdevelopment, control, and optimization; discovery of new materials; AI-based design ofdevices, structures and systems that are energy-efficient, promote reuse and recycling ofmaterials, reduce consumption, or otherwise mitigate climate change and environmentalimpact on the planet.Candidates should possess fundamental skills in one or more of the following areas: learning fordynamics, nonlinear dynamical systems, closure models, computational modeling, scientific machinelearning, high dimensional statistics and optimization, science of autonomy, intelligent systems,smart sensing, computing devices, decision theory, risk analysis, and data-driven science andengineering.The Department of Mechanical Engineering and the Schwarzman College of Computing (SCC) arecommitted to fostering interdisciplinary research that can address grand challenges facing oursociety. We are especially interested in qualified candidates who can contribute, through theirresearch, teaching, and/or service, to the diversity and excellence of the academic community. Weseek candidates who will provide inspiration and leadership in research, contribute proactively toboth undergraduate and graduate level teaching in the Mechanical Engineering department and SCC.The successful candidate would have a shared appointment in both the Department of MechanicalEngineering and also the Schwarzman College of Computing, in either the Department of ElectricalEngineering and Computer Science (EECS), or in the Institute for Data, Systems, and Society (IDSS).Candidates can also become members of the Center for Computational Science and Engineering(CCSE) and of other groups at MIT.Faculty duties include teaching at the undergraduate and graduate levels, advising students,conducting original scholarly research and developing course materials at the undergraduate andgraduate levels. Candidates must hold a Ph.D. in Engineering, Physics, Data Science, ComputerScience, or Applied Mathematics or a similar discipline by the beginning of employment.Applications must include a cover letter, curriculum vitae, 2–3 pages statement that explicitlyhighlights how their research has and/or will contribute to the health of the planet, as well ascorresponding teaching interests and goals. In addition, candidates should provide a statementregarding their views on diversity, equity, inclusion, and belonging, including past and currentcontributions as well as their vision and plans for the future in these areas. Approaches to fosteringan inclusive environment including but not limited to teaching, mentoring, and affirming diverseviewpoints, are encouraged to be discussed. They should also provide copies of no more than threepublications. They should also arrange for four individuals to submit letters of recommendation ontheir behalf. This information must be entered electronically at the following site:by December 15, 2021 when review of applications will begin.MIT is an equal opportunity employer. We value diversity and strongly encourage applications from individuals from all identities and backgrounds. All qualified applicants will receive equitable consideration for employment based on their experience and qualifications, and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin. MIT’s full policy on Nondiscrimination can be found here.
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