Explore ARCExplore ARC

MICDE funds 7 new catalyst projects

By | General Interest, Happenings, News

Every year, The Michigan Institute for Computational Discovery & Engineering (MICDE) Catalyst Grants fund innovative research projects in computational science that combine elements of mathematics, computer science, and cyberinfrastructure.

Topics of interest include, but are not limited to:

  • Computational science approaches, algorithms, frameworks, etc.
  • Emerging paradigms in computing (exascale computing, quantum computing, FPGA computing, etc.)
  • Applications in emerging areas (neuroscience, ecology, evolutionary biology, human-made complex systems, mobility etc.)
  • Extensions of traditional computational sciences to complex decision making (reinforcement learning, transfer learning, neuromorphic computing, etc.)
  • Artificial Intelligence informing and informed by science

This year, MICDE awarded its third round of catalyst grants to faculty leading seven innovative projects in computational science.

The projects, supported by up to $90,000 in grant funding, span several research areas ranging from cosmology to artificial intelligence systems in computational systems.

Learn more about the 2019-2020 catalyst grants.

The background image is a multi-color image of the Milky Way disk, its halo and nearby satellite galaxies obtained with the European Space Agency’s Gaia Satellite (http://sci.esa.int/gaia/) . The blue curve shows an example of (half) of a regular trajectory that a star in the halo of the Milky Way might follow. [M. Valluri, Astronomy]

Optimization Research Scientist

By | SC2 jobs

The Optimization Firm: Optimization Research Scientist

Job Description and Responsibilities
The Optimization Firm is seeking a full-time Optimization Research Scientist to begin immediately. Applicants should have expertise in data modeling and analysis, large-scale linear and integer programming, heuristic solutions design, and/or development of efficient optimization implementations.

This developer will have an exciting opportunity to advance software solutions and analytics. As an optimization developer, your ability to develop innovative algorithms and problem-solving solutions will initially support the BARON software project. As you grow into this role, your work will include additional optimization and machine learning projects.

Job Description

  • Designing, implementing, testing, and deploying robust general-purpose optimization algorithms
  • Addressing the solution of specific applications
  • Communicating research results through scholarly journals and at conferences

Required Qualifications

  • Bachelor’s degree in a quantitative field such as applied mathematics, computer science, operations research, industrial engineering, or related field
  • Experience with optimization methods and solvers (CPLEX, Gurobi, COIN-OR, etc.)
  • Proactive self-starter who is comfortable working remotely without micromanagement of day-to-day tasks

Desired Qualifications

  • Ph.D. in a quantitative field such as operations research, computer science, or related field
  • Experience with applications of optimization in areas such as energy or finance
  • Experience with nonlinear or integer programming algorithms

Benefits and Compensation
You will have the opportunity to advance the world-leading global optimization software, helping solve real-world problems to global optimality. Salaries are negotiable based on your qualifications and experience. We also offer flexible work hours, the possibility of remote employment, and excellent benefits.

Location: Pittsburgh, PA, USA
Apply: Please submit your résumé and cover letter to jobs@minlp.com.

Postdoctoral Position Available Immediately, TREE Lab

By | SC2 jobs

Postdoctoral Position Available, TREE Lab
Dr. Bala Chandran’s Research Group, Mechanical Engineering

Dr. Bala Chanran is looking to hire a postdoctoral scholar immediately for an ARPAE-funded project on high-temperature powder processing for additive manufacturing applications. Applicants should have demonstrated expertise in the areas of material thermodynamics, knowledge of FactStage/CALPHAD to perform phase- equilibrium calculations for metallic alloys, multiscale microstructural materials modeling, oxidation and carburization kinetics of ceramic oxide dispersants, modeling thermal transport and mechanics of materials. 

Interested applicants should have strong computational and analytical skills and demonstrate intellectual independence, should be a team player that is willing to work in a multidisciplinary team-setting with university and industry partners, and possess excellent oral and written communication skills. 

If you are interested in this opportunity, please email Prof. Bala Chandran (rbchan@umich.edu) all the following documents AS SOON AS POSSIBLE as one compiled PDF application. 

  1. A 2-page CV with publications and references
  2. 1 one-page statement of interest that explains why you are best suited for working on the proposed research topic including pointers on how you meet the required project criteria.
  3. 5 slides to showcase your research experience highlighting specific individual contributions with appropriate references included.

PhD Position Available Immediately, TREE Lab

By | SC2 jobs

PhD Position Available Immediately, TREE Lab

Professor Bala Chandran is looking to recruit one highly motivated PhD student, on a Department of Energy funded project on solar water splitting for hydrogen production. This project will tentatively start from November 2019. The student will be involved in developing computational models to predict the combined influences of semiconductor physics, electrocatalysis, mass and energy transport for the design of a particle-suspension solar water splitting reactor. The student will also be involved in experimental aspects of this project to understand the impacts of thermal convection on species transport. 

Interested students should have the following qualifications: 

  • Strong analytical skills and intellectual independence (i.e., able to read books or papers and learn by oneself; able to transfer theoretical knowledge to practical situations) 
  • Excellent work ethic and a strong team player that can interface with a multidisciplinary team with university and national lab partners 
  • Aptitude for numerical and computational modeling of various physical phenomena 
  • Relevant course experiences: 
    • Undergraduate level Thermodynamics, Heat-Transfer or Mass-
    • Transfer, Fluids, Numerical Analysis and Partial Differential Equations
    • Basic programming skills in Matlab/Python/Mathematica
    • Knowledge or experience in finite element/finite volume modeling for transport problems and semiconductor physics will be considered a plus point.
    • Interest and capability to develop hands-on experimental prototypes for the project to study thermal transport.

Students from various engineering departments – ME , ChemE, MSE, EECS, and Applied Physics are encouraged to apply for the position. If you are interested in this opportunity, please email, as one PDF file (1) your CV, (2) unofficial academic transcript and (3) a one-page statement of interest to rbchan@umich.edu ASAP! Your statement should reflect your coursework and research experiences pertinent to this project, and highlight why you are interested in this project.

John von Neumann Postdoctoral Research Fellowship in Computational Science

By | SC2 jobs

John von Neumann Postdoctoral Research Fellowship in Computational Science

Sandia National Laboratories invites outstanding candidates to apply for the 2020 John von Neumann Postdoctoral Research Fellowship in Computational Science. This prestigious fellowship is partially supported by the Applied Mathematics Research Program in the U.S. Department of Energy’s Office of Advanced Scientific Computing Research.

The fellowship provides an exceptional opportunity for innovative research in computational mathematics and scientific computing on advanced computing architectures with application to a broad range of science and engineering problems of national importance. Applicants must have or soon receive a Ph.D. in applied/computational mathematics or related computational science and engineering disciplines. Applicants must have less than three years of postdoctoral experience, and be able to obtain a DOE security clearance, which requires U.S. citizenship.

This appointment is for one year, with a possible renewal for a second year, and includes a highly competitive salary, moving expenses and a generous professional travel allowance.

Applications will be reviewed upon receipt. Complete applications received by November 22, 2019 will receive full consideration.

For more information, including application instructions, please see the flyer or visit the web page at http://www.cs.sandia.gov/VN_Web_Page/

MICDE announces 2019-2020 fellowship recipients

By | Educational, General Interest, Happenings, News

The Michigan Institute for Computational Discovery and Engineering (MICDE) is pleased to announce the 2019-2020 MICDE Fellowship recipients. They were chosen to receive this honor because of their exceptional academic record and the outstanding promise of their research in computational sciences. Fellows are working on a wide range of groundbreaking problems, including the strategic interaction of parties and electors in democratic elections (S. Baltz, Political Science), the effects of disruption of synaptic signaling on neuronal structures (M. Budak, Biophysics),  and on the development of robust, efficient, and scalable algorithms for multidisciplinary design optimization applications applied to the design of the next generation of fuel-efficient aircrafts (A. Yildirim, Aerospace). The fellowships, which carry a $4,000 stipend, are meant to augment other sources of funding and are available to students in our three educational programs. Visit our fellowship page to learn more about the program and the fellows.

2019-2020 MICDE Fellows (from left to right) Guodong Chen (Aero), Suyash Tandon (ME), Jiale Tan (Epidemiology), Fuming Chang (ClaSp), Kelly Broen (Epidemiology), Bradley Dice (Physics), Liz Livingston (ME), Will Weaver (EEB), Yuan Yao (ME), Samuel Baltz (Pol Sci), Joe Hollowed (Physics), Minki Kim (ME), Allison Roessler (Chem), Chongxing Fan(ClaSp), Maral Budak (Biophysics), Saibal De (Math), Xian Yu (IOE), Jiaming Zhang (Physics). [Not pictured: Thomas Waltmann (Physics), Anil Yildirim (Aero), and Jessica Conrad (IAM)]

AWARDEES

Samuel Baltz, Political Science
Kelly Broen, Epidemiology
Maral Budak, Biophysics
Fuming Chang, Climate and Space Sciences and Engineering
Guodong Chen, Aerospace Engineering
Jessica Conrad, Applied & Interdisciplinary Mathematics
Saibal De, Applied & Interdisciplinary Mathematics
Bradley Dice, Physics
Chongxing Fan, Climate and Space Sciences and Engineering
Joseph Hollowed, Physics
Minki Kim, Mechanical Engineering
Elizabeth Livingston, Mechanical Engineering
Allison Roessler, Chemistry
Jiale Tan, Epidemiology
Suyash Tandon, Mechanical Engineering
Thomas Waltmann, Physics
William Weaver, Ecology and Evolutionary Biology
Yuan Yao, Mechanical Engineering
Anil Yildirim, Aerospace Engineering
Xian Yu, Industrial & Operations Engineering
Jiaming Zhang, Physics

Modeling and Simulation Engineer/Scientist

By | SC2 jobs

Modeling and Simulation Engineer/Scientist

Location of Position: Austin, Texas

Employing Institution: Protection Engineering Consultants

Description of Position: Protection Engineering Consultants (PEC) is a unique and diverse small-business engineering firm, headquartered in Texas. PEC is globally recognized as an industry pioneer in the areas of applied research, advanced modeling and simulation, assessment and testing for the protection of people, systems, and infrastructure against natural and man-made hazards, extreme accident scenarios, and deliberate attacks. We perform high-fidelity physics-based modeling; design and evaluate novel protective devices, oversee material-level and full-scale physical testing; and, develop fast-running models using data analysis techniques (machine learning, genetic programming, etc). We perform this work for military and civilian clients. We are looking for a creative and motivated modeling and simulation engineer/scientist, who can support our advanced technology and applied research projects. The candidate must have experience (academic or work-related) in applying and/or developing state-of-the-art numerical modeling tools, for solid dynamics and fluid dynamics applications. Experience modeling extreme loads and highly nonlinear material response is preferred and course work in structural dynamics, numerical analysis, and computational modeling is expected. The successful candidate will have capabilities in one or more of the following areas: nonlinear dynamic analysis using LS-DYNA, CTH, ABAQUS, ANSYS, ALE3D, EPIC, DYSMAS, or other first-principles high-fidelity, physics-based codes; laboratory testing; and programming in Python or other scientific languages. Familiarity with and application of data analytic techniques and open-source software is a plus. We will provide opportunities and encouragement for professional development in technical, marketing, and management areas, depending upon individual interest.

Minimum Qualifications: MS or PhD in Engineering, Physics, or Math.-US citizen.

  • Recent graduates are welcomed, but work experience is a plus.
  • Course work or experience in structural dynamics, numerical analysis, and computational modeling.
  • Programming in Python or other scientific languages.
  • Ability to clearly communicate verbal and written technical information.

Application Procedure: Resume Submission/Phone interview/On site interview in both Austin and San Antonio offices

Contact Information: Randi Jinkins

Website: https://www.protection-consultants.com

Closing Date: 10/31/2019

Postdoc Position at Vanderbilt University

By | SC2 jobs

Postdoc Position on Modeling the Fracture Mechanics of Antarctic Ice Shelves 

Location of Position: Nashville, TN

Position Responsibilities: The Computational Mechanics and Physics Laboratory at Vanderbilt University is seeking a postdoctoral researcher interested in the area of ice sheet modeling and fracture mechanics. The specific research project is described below:

Fracture Mechanics of Antarctic Ice Shelves and Glaciers: This project aims to provide fundamental understanding of iceberg calving by advancing the frontiers in nonlinear continuum mechanics and computational fracture mechanics, and translating it to glaciology. The project aims to develop a fracture-physics based scheme to better represent iceberg calving in the community ice sheet model. The effort will also address research questions related to calving behavior of floating ice shelves and glaciers, and the role of hydrofracture and ice cliff failure in ice sheet mass loss in the future. The overarching goal is to enable more reliable prediction of calving fronts in whole-Antarctic ice-sheet simulations in the Community Ice Sheet Model (CISM) over decadal- to-millennial time scales. The project is funded through a 5-year CAREER grant from the National Science Foundation https://my.vanderbilt.edu/cpml/research/nsf-plr-1847173/ 

Timeline: The position is available immediately, but starting date is negotiable. Applications are accepted until the positions are filled. Initial appointment will be for 1 year, but funding is available to extend the appointment for another 1–2 years.

Qualifications: Applicants should have a Ph. D. degree in Civil/Mechanical/Computational Engineering, Engineering Mechanics, Applied Physics or Mathematics, Earth and Environmental Sciences, or a relevant field. The ideal candidate will have a background in nonlinear continuum mechanics, fracture mechanics and finite element methods. Essential requirements are strong quantitative, verbal and analytical skills, solid knowledge and experience in scientific programming (with Python or C/C++ or Fortran ), expertise with either FEniCS or Elmer Ice software, and the ability to learn and employ new numerical methods and technologies from different disciplines. Previous research experience in the field of computational modeling and a record of publications in reputed international journals is required.

Contact: Applicants contact Prof. Ravindra Duddu ravindra.duddu@vanderbilt.edu with their CV.

Postdoc Position at Stanford University

By | SC2 jobs

Postdoc Position at Stanford University

Leveraging big data to understand the neurobiological underpinnings of reading and math abilities.

The Yeatman (Stanford University) and Rokem (University of Washington) labs have 2 years of funding for a jointly mentored postdoc who is interested in capitalizing on new innovations in data science and diffusion MRI methods to understand the neurobiological underpinnings of reading and math abilities. With the emergence of public datasets containing tens of thousands of subjects (e.g., ABCD, Healthy Brain Network, Human Connectome Project, etc.) there are new opportunities to apply computational approaches to understanding the multivariate relationship between white matter development and academic skills. Beyond identifying correlations between a single behavioral measure and diffusion properties in a single white matter tract, we would like to progress towards a model characterizing how the interrelated developmental trajectories of the brain’s many white matter connections relate to different components of academic development (e.g., reading, math, executive function). This project would involve working with large, publicly available datasets, and developing/applying new statistical approaches to relate measures of brain anatomy to cognitive skills.

Starting salary range: $65,000- $75,000/yr depending on experience.

Applicants should have a PhD in neuroscience, psychology, or related fields, or a PhD in computer science, statistics, physics or engineering fields, and an interest in rapidly learning about measurements of the living human brain. Either way, the ideal candidate should possess strong computational skills, proficiency programming in Python and familiarity with MATLAB. Experience with diffusion MRI data analysis or other related neuroimaging is a plus but not required. Must enjoy working in a fast-paced collaborative and open environment and have strong writing and communication skills.

Start date: Any time

To apply, please send:

1. A curriculum vitae
2. Contact information for three references
3. A two-paragraph letter (less than 1 page) describing:
– a finding from your PhD (or previous postdoc) research that
you are excited about and
– a project you would like to tackle in the lab.

Jason Yeatman (jyeatman@stanford.edu)
Ariel Rokem (arokem@gmail.com)