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Assistant Professors (Tenure-Track) (4)- Computational Science and Data Analytics

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Position description

The University of California Merced invites applications for four tenure-track faculty positions at the Assistant Professor Level as part of a cluster hire. These positions are part of an ongoing multi-year, multi-departmental strategic initiative across the schools of natural sciences, engineering and social sciences and humanities to build excellence in the area of Computational Sciences and Data Analytics, very broadly defined. We seek to recruit exceptional candidates with an ability to work across disciplines focusing on either the development of novel tools, techniques or theories of computation and/or the applications of computational and theoretical methods to the modeling of complex systems and analyzing data. Additional duties include teaching Graduate/Undergraduate courses and participate in University and professional service.

Areas of interest include, but are not limited to:
(1) computational and theoretical modeling of complex physical, chemical, biological, cognitive or social phenomena, (2) developing computational infrastructure, (3) statistics and big data approaches.

Topics of interest in these areas include, but are not limited to:

  • Data science, data mining, statistical learning, computational statistics, stochastic processes, computational mathematics, mathematical modeling, distributed and high-performance computing, optimization, uncertainty quantification, inverse problems.
  • Network Science, from neural and cognitive scales to societal scales, including complex systems, biological networks, social networks, agent-based modeling, social media and large-scale data analytics. Computational Vision: Computational models or analyses in the areas of visual perception, visuomotor coordination, or visual neuroscience; computer/machine vision. Environmental Informatics and Communication: Climate communication, LinguistList, environmental informatics, sentiment analysis, social media analytics, data visualization, risk and uncertainty, science education, environmental ethics.
  • "Cloud computing and big data", "Cyber Physical Systems", "big data driven cyber physical systems e.g. energy and agricultural systems”, and "data visualization and visual analytics”.
  • Numerical modeling or big-data approaches to research on the food-water-energy nexus, renewable energy, sustainable water and resources or adaptation to climate change.
  • Data-enabled simulation of gene expression or signal transduction network dynamics in whole cells or cellular networks, including developmental, immunological, neural, and cancer systems. Statistical inference from comparative or population analysis of high-throughput omics data to address fundamental problems in molecular and cellular biology. Bioinformatics and machine learning for high-dimensional molecular, cellular, physiological or behavioral data arising in, for example, 3D or biosensor imaging, dynamic cytometry, or proteomics.
  • Data driven research of mechanical systems including building energy management, intelligent manufacturing and design, agricultural automation, combustion, multiscale Multiphysics mass and energy transfer, and bio-mechanics.
  • Multi-scale computational modeling of materials and mechanical properties of complex interconnected biological systems that impact human health. High-performance computing, visualization and design make the tool set.
  • Novel materials design, quantum information and computing, statistical mechanics, non-equilibrium systems, complex systems, non-linear dynamics, networks, soft matter, fluids and biological physics at all scales.
  • Computational statistics, statistical learning, real-time data streams, data mining, dynamical systems analysis, functional data analysis, analysis of phenotypes, Bayesian statistics.

These are part of a broad range of interdisciplinary topics of interest in this search. Candidates may be affiliated with one or more academic units with the primary appointment being determined by the candidate’s research and teaching interests and qualifications.

Qualifications: Ph.D. in a field relevant to the topics of interest indicated above is required by the start date. Candidates with broad scientific interests, a record of research excellence and creativity and the potential for active interdisciplinary collaboration will be preferred.

Applications must be submitted via the website and must include (1) a cover letter stating area of interest, (2) curriculum vitae (3) research statement, (4) teaching statement, and a (5) diversity statement.

Deadline: Positions are open until filled; consideration of applications will begin on December 15, 2015.
Salary: Negotiable based on the University of California salary scales.

The University of California, Merced is an affirmative action/equal opportunity employer with a strong institutional commitment to the achievement of diversity among its faculty, staff, and students. The University is supportive of dual career couples.

Application Requirements

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

  • Cover Letter

  • Statement of Research

  • Statement of Teaching

  • Statement of Contributions to Diversity - Statement addressing past and/or potential contributions to diversity through research, teaching, and/or service.

Reference requirements
  • 5 letters of reference required