Part-time RA position modeling infectious disease transmission

By | SC2 jobs

Description:
We are looking for an U-M Masters or PhD student with strong statistical and computational skills with an interest in aiding in the design, implementation, and analysis of a large-scale individual-based simulation model of infectious disease transmission. This position is part of a multidisciplinary project funded by MICDE’s Catalyst program and led by Dr. Jon Zelner of the Dept. of Epidemiology, UM School of Public Health and Dr. Seth Guikema of the Dept. of Industrial and Operations of Engineering at the UM College of Engineering.

This project will involve integration of statistical and machine learning tools into an individual-based simulation model, allowing opportunities to develop experience in both of these domains. Statistical methods employed include non-parametric smoothing, Gaussian process regression, conditional autoregressive spatial models, and hierarchical Bayesian regression. The final model will likely be implemented in R, Python, C/++, Julia, or some combination thereof.

We anticipate a commitment of up to 10 hours per week during the academic year, with the possibility of a full-time position during the summer of 2020.

Compensation: $18 per hour

How to apply: Please email a CV and short description of skills and interest in this project to Jon Zelner at jzelner@umich.edu.

 

Computational Mechanics Scientist Postdoctoral Research Associate Position Available at Idaho National Laboratory

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Computational Mechanics Scientist Postdoctoral Research Associate

Organization: Computational Mechanics & Materials
Contact:  Thomas.Steele@inl.gov
Work Location: Idaho Falls, ID
Looking for: An expert in constitutive modeling (not micromechanics of materials)

Please Apply Before: October 31, 2019 (Midnight MDT)

Responsibilities
In this position, you will work in the Computational Mechanics and Materials Department. Duties will include developing constitutive models for use in Bison and Grizzly, the nuclear fuel performance and component aging software packages under development in the Department. This development will occur using INL’s MOOSE computational framework (mooseframework.org), a finite element-based platform for computational science research. Examples of modeling experience that are of interest include: concrete, particularly issues associated with performance degradation; metals, including anisotropic creep, high temperature creep, and general nonlinear response; and oxidation. While the focus of the research will be on constitutive model development, a significant effort will also be placed on analysis using the developed models. Furthermore, you will utilize other skills associated with the development of nonlinear solid mechanics software. Expectations include finding creative solutions to a wide range of challenges, providing software capabilities that are thorough, user-friendly, and well documented, working without the need for detailed direction, and developing a significant set of internal and external professional contacts.

You will support representation of the Department to sponsors and peers through programmatic and technical presentations and scientific publications; by enhancing technical currency and proficiency through peer participation and technical publication; and by writing technical manuscripts reporting progress, documentation, methods, and results from projects. It is expected that the work will result in publications in peer reviewed journals.

You will support identification of new research opportunities that attract funding, plays a key role in technical teams to respond to those opportunities, supports proposal writing activities by way of introducing new ideas and approaches, and helps secure funding for the conduct of that research.

You are expected to be a strong asset to our mature high-energy R&D team and work effectively both in isolation and as a team member. You must take direction from other team members and peers and also provide input in a constructive manner to others while maintaining positive and professional relationships.

You will maintain required training commensurate with security, safety, and work execution programs.

Qualifications

 PhD in Civil Engineering, Mechanical Engineering, or related field within the previous 5 years.

  • Demonstrated oral and published written communication skills (in English).
  • Demonstrated ability to conceive and execute computational science research.
  • Knowledge of the finite element method, solid mechanics, and constitutive relationships.
  • Experience developing computational software.
  • Experience writing proposals.
  • Must be able to work in a culturally diverse environment.
  • Must be able to obtain and retain access to the software packages under development.

Special Requirements and/or Training:
Knowledge and experience in any of the following will be helpful: parallel programming, iterative solvers and preconditioning, numerical methods, nuclear fuel, heat transfer, and multiphysics coupling.

**Must enjoy working in a culturally diverse work environment.**

Selective Service Requirements
To be eligible for employment at INL males born after December 31, 1959 must have registered with the Selective Service System (SSS). This includes U.S. born and naturalized citizens, parolees, undocumented immigrants, legal permanent residents, asylum seekers, refugees, and all males with visas of any kind which expired more than 30 days ago. The few individuals who are exempt from this requirement are those on current non-immigrant visas.  For more information see www.sss.gov.

Employee Job Functions
Employee Job Functions are physical actions and/or working conditions associated with the position.  These functions may also constitute essential functions for the job position which the employee must be able to fulfill, with or without accommodation.  Information provided below is to help describe the job so that the applicant has a reasonable understanding of the job duties/expectations.  An applicant’s ability to perform and/or tolerate these actions and conditions will be discussed and workplace accommodations may be made on a case-by-case basis following an individualized assessment of the applicant and other considerations, including but not limited to any governing safety standards.
  • Motor Abilities: Fine motor control (hands); Repetitive work – intermittent.
  • Special Senses: Visually demanding work; Near vision; Depth perception; Basic color discrimination; Speech discrimination.
  • Work Conditions: Stairs; Typing/keyboard; >8 Hrs/day; Working alone.

Other Information

When applying to positions please provide a resume and answer all questions on the following screens. Applicants, who fail to provide a resume or answer the questions, may be deemed ineligible for consideration.

For more information, click the link here.

Multiple Summer Internships at Tinker Air Force Base

By | SC2 jobs

Summer Internships at Tinker Air Force Base

The 76th Software Engineering Group at Tinker Air Force Base in Oklahoma City is excited to announce that we are accepting applications for engineering and computer science internships for summer 2020. The 76 SWEG is the largest engineering organization on Tinker Air Force Base and is responsible for software design, development, integration, and sustainment of many of the Air Force’s Mission Critical Computer resources. Interns in this program will be exposed to a variety of different workloads and gain real-world work experience in a professional and technical environment.

Note that there are three different types of internship programs list below.

Applicants: Computer Science and Engineering undergraduates and graduates. Read through the information below to see which internships are available to you.

All interns must meet the following requirements:

  • Currently pursuing a degree in Electrical Engineering, Computer Engineering, Computer Science or Engineering Physics
  • Currently enrolled in an approved, full-time program pursuing a Baccalaureate Degree
  • Live near or are willing to move near Tinker AFB during the 3-month summer program
  • Ability to obtain and maintain a security clearance (Air Force will fund the clearance)
  • Possess U.S. Citizenship

SWEG Summer Internship

The SWEG Summer Internship provides an opportunity for current students to gain engineering experience during a 10-12 week summer program or opportunities may exist for part-time semester work, following summer internships, and/or conversion to full-time employment after graduation.

To apply: Complete the application, and upload your resume and transcript(s) at: https://afcs.recsolu.com/external/form/Y83YNwaf1fwAKBfF1wRJxA 

PCIP (Premier College Internship Program)

In addition to completion of a 3-month internship experience, PCIP may qualify you for a future spot in the Palace Acquire Program (PAQ). Students in PAQ receive funding for the full-time pursuit of a technical Master’s degree while collecting a salary for full-time employment. More details of the PAQ program can be found here: https://afstem.afciviliancareers.com/entry-level-programs/ palace-acquire.html

PCIP internship has the additional requirements: 

  • Completed at least 60 semester hours (must be a Junior) 
  • Possess a minimum GPA of 3.0 on a 4.0 grading scale 

To apply: Complete the application, and upload your resume, transcript(s), and your degree plan (showing all classes you need to graduate) at: https://afcs.recsolu.com/external/form/Y83YNwaf1fwAKBfF1wRJxA 

For SWEG Summer Internship and/or PCIP inquiries/questions, email: 76SMXG.Intern.Program@us.af.mil 

Science, Mathematics and Research For Transformation (SMART) Scholarship Program

This internship program provides nationwide opportunities for qualified undergraduate and graduate students pursuing a degree in Science, Technology, Engineering, and Mathematics (STEM) disciplines to receive a full scholarship and be gainfully employed upon degree completion.

To apply: Applications accepted August 1 – December 1. Complete details can be found and applications must be submitted online at: https://smartscholarshipprod.service-now.com/smart

Scan QR code on flyer to apply here.

NASA Spring 2020 Internship Position

By | SC2 jobs

NASA Spring 2020 Internship Position

Title: Improving the Efficiency and Parallel Scalability of a Scientific Code 

Type: Internship 

Center: Glenn Research Center 

Description: The development and flight of Electric Propulsion (EP) thrusters require high-fidelity physics-base numerical simulations. At NASA GRC, we use a multi-scale hybrid particle-fluid framework to perform large domain simulations, such as single/multiple thrusters in a ground vacuum facility and in a full-size spacecraft on orbit. The hybrid particle-fluid code used in this project is written in object-oriented C++ and has a parallel simulation capability using MPI. The student’s main goal is to improve simulation speed/efficiency of the code by optimizing both various algorithms in the code and the MPI network and thus parallel scalability (i.e., increasing number of processors resulting in faster computation time). In particular, the student will look at the current MPI parallelization, particle-merging and splitting algorithms, fluid model, and mixed DSMC (Direct Simulation Monte Carlo) and ray tracing algorithms to improve the computation speed for both in-space and vacuum chamber simulations. This project supports the core competency of In-Space Propulsion at NASA GRC. Keywords: parallel computing; MPI optimization; Object-oriented C++; Improve computation / simulation speed 

Computer/Software Skills: Student must have a solid foundation for writing efficient, safe C++ code. Student must be proficient with programming and computer science concepts (e.g. variable, control flow, functions, data structures, algorithms). The student should have knowledge of MPI (or OpenMP) and parallel computing. 

Other Skills: Understanding of basic engineering and physics concepts is necessary. Prior scientific computing experience is desired. Prior knowledge of electric propulsion, plasma, and DSMC are NOT required but could be helpful. Good communication and teamwork skills are required. The student should have the ability to learn new materials quickly. 

Academic Level(s): College Junior; College Senior; Master’s; Doctorate 

Major(s): Computer and Information Sciences – Computer Programming; Computer and Information Sciences – Computer Science; Computer and Information Sciences – Computer Systems Networking and Telecommunications; Engineering – Aerospace / Aeronautical and Astronautical Engineering; Engineering – Computer; Engineering – Electrical / Electronics / Communications Engineering; Engineering – Mechanical; Engineering – Nuclear; Engineering – Physics; Mathematics – Applied; Mathematics – Mathematics and Statistics; Multi-disciplinary – Computational Science; Physical Science – Astronomy and Astrophysics; Physical Science – Atmospheric Sciences and Meteorology; Physical Science – Physics 

Mission directorate(s): Human Exploration and Operations Mission Directorate 

Deadline for application: November 5, 2019 

Apply at: https://nasa.force.com 

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

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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

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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