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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)

Data Visualization & Presentation Specialist

By | SC2 jobs

AWEA: Data Visualization & Presentation Specialist

This position thinks in numbers and speaks in interactives, maps, and charts to deliver effective and compelling advocacy materials and content to further the organization’s mission and objectives. The role will also leverage data analysis tools to investigate industry data, market trends, and policy impact assessments to support AWEA’s policy and regulatory decision-making and advocacy. This position reports to the Vice President, Research & Analytics.

Essential Functions/Major Responsibilities: 

  • Think critically about graphics and data. Employ a variety of methods – interactive graphics, infographics, charts, maps, fact sheets, and more – to deliver compelling advocacy material and visually stunning market reports and presentations.
  • Develop intuitive, attractive, and interactive data visualizations for reports, presentations, and a range of other uses.
  • Distill data to communicate compelling stories to diverse audiences.
  • Produce high-quality and visually appealing presentation content based on AWEA data and secondary sources. Update legacy presentations, fact sheets, and additional data-driven advocacy content.
  • Lead design and production of AWEA market reports, fact sheets, and data visualizations. Work collaboratively with report authors and subject matter experts to develop content and tailor products to appropriate audience.
  • Build dashboards and similar data summaries for senior management that informs decision-making and planning.
  • Design and perform analyses that support AWEA’s policy agenda at the state, regional, and federal level on strategic issue areas.
  • Provide rapid response and analysis to inquiries from Government and Public Affairs teams, AWEA members, regional partners, the press, and others. Serves as a technical expert in communications with AWEA members, policy makers, the press, and the general public.
  • Assist in reviewing audience-facing material across the organization.

Knowledge, skills and abilities:

  • Strong quantitative analysis skills. Candidate must possess a strong record working with large, complex datasets.
  • Critical thinking: able to look at numbers, trends & data and come to new conclusions and transform into compelling visuals.
  • Strong written and oral communication, with the ability to tailor information to audiences of varying technical capabilities.
  • Expertise in technologies such as Tableau, SQL, JavaScript/HTML/D3.
  • Experience with Adobe Illustrator, Acrobat, and Photoshop.
  • Experience in ArcGIS or other geospatial visualization software.
  • Ability to respond quickly and professionally to inquiries.
  • Ability to prioritize and complete a variety of tasks efficiently.
  • Interpersonal skills and ability to work in a collaborative team environment.

Education and/or Experience

AWEA is seeking applicants whom reflect and understand our core values: We HEART Wind Energy, The Truth Prevails, Together We Succeed, and Ahead of the Curve. Qualified applicants may possess any combination of education and experience enabling them to successfully perform the responsibilities of the position. Qualifications are: Bachelor’s degree in a quantitative field such as economics, statistics, or engineering preferred. Seeking candidates with a minimum three years of experience conceptualizing and creating information graphics, data visualization, interactives, and presentations. Knowledge and working understanding of U.S. electricity sector preferred.

To apply

Send how you heard about this job, cover letter, salary requirement, start date availability, and resume to ResearchJobs@awea.org (use “[Your Name]- Data Visualization & Presentation Specialist” in subject line) or mail to AWEA, 1501 M Street NW, Suite 900, Washington, DC 20005;  Attention:  Human Resources.

On-Site Lead Staff Scientist

By | SC2 jobs

ERDC DSRC On-site Lead Staff Scientist

The Engineer Research and Development Center (ERDC) in Vicksburg, MS is looking for candidates for the Site Lead position. The position description is below and a Secret clearance is required.


  • Works with HPCMP customers to identify potential multidisciplinary efforts.
  • Participates on appropriate teams as part of the multidisciplinary efforts.
  • Facilitates the process by which efforts are presented for consideration to the Government.
  • Supports major efforts and may serve as principal investigator.

Primary interface with Government leadership.


  • PhD required.
  • 10 years of HPC-related experience preferred. (flexible for strong candidates)
  • Demonstrated experience in multidisciplinary computational environments.

Documented authorship in peer-reviewed publications.


They are also looking for scientists with DDA experience, and they could be located at ARL (Aberdeen, MD), AFRL (Dayton, OH), Navy (Stennis, MS) or ERDC (Vicksburg, MS). Description of what they are specifically defining DDA as is below.

Data and Decision Analytics (DDA)

DDA covers the entire computational ecosystem (hardware, software, storage, and networks) required to conduct large-scale data analytics.  This ecosystem includes how large data is managed, analyzed, and visualized. Capabilities include methods for conducting exploration (what does the data look like?), descriptive (what happened?), diagnostics (why did it happen?), predictive (what will happen?), and prescriptive (how can we make it happen?) analyses.  In this computational area, the Contractor shall:

  • Work with the HPCMP user base to identify requirements for software and hardware in the area of DDA
  • Provide software engineering support for development and improvement of DDA codes
  • Provide expert support for the R programming language and R studio
  • Provide application-level support for DDA tools including but not limited to Caffe, Tensorflow, Sparc, python, anaconda H2O, and container technologies
  • Provide technical support to DDA users/customers across DoD
  • Foster and develop collaborations with DoD and non-HPCMP user and customers.
  • Identify opportunities, requirements and promising research approaches to exploit and leverage promising data science capabilities. Potential areas include:
    • Cognitive modeling
    • Automated Target Recognition (ATR) (e.g., DARPA Trace program)
    • Test range and training center data streams
    • Autonomy – Supervised and unsupervised machine learning methods
    • High-throughput screening
    • Automated fitting and multiscale approaches
    • Intrusion-resilient cyber systems and cyber vulnerability assessments and reactions
    • Decision-support systems and augmentation of human performance
    • Utilization of relational databases, non-relational databases, polystores, and other data management methodologies
  • Implement algorithmic cores and new work-stream tools and collaborate with PET on-sites to promote the adoption of HPDA within the HPCMP community.
  • Provide leadership to identify, explore and evaluate data science software tools for inclusion within the HPCMP software stack and user community.
  • Collaborate with the HPCMP and Centers team to determine when traditional HPC hardware and middleware is appropriate for HPDA problems and tools.  Alternatively, provide guidance if and when specialized hardware, middleware, or system configurations would be more optimal.
  • Provide technical support to SIP customers/users for existing and emerging software in terms of usability, performance optimization, validation/verification and strong/weak scaling.
  • Foster and develop collaborative relationships with DoD and non-DoD communities.

Research Data Scientist Intermediate for ARC-TS

By | SC2 jobs

Advanced Research Computing – Technology Services (ARC-TS) has an exciting opportunity for those who wish to impact our world through science and research by use of computational and data tools such as, Machine Learning, statistical analysis, High Performance Computing (HPC), Big Data (Hadoop, Spark, DBMS, etc), cloud computing services (AWS, Azure, GCP), and more.

This position will be part of a team supporting all areas of research that utilize data at the University of Michigan.  The primary responsibilities will be consulting on as well as providing services in collecting, discovering, cataloging, manipulating, and transforming data.  This role will work closely with possibly multiple projects. Other responsibilities will include making presentations and providing training on the use, cataloging, and manipulation of data to students and researchers.

The successful candidate should be comfortable with Linux systems and the use of common data manipulation tools and languages such as Python and SQL and be able to pick up new tools quickly as needed for the scope of the project currently assigned.

Note: Technical training will be provided to address specific gaps in desired qualifications.


Data Preparation and Identification — This role will help users through the lifecycle of their datasets.  The position will help users understand the data set that they have, determine programmatic ways to clean the data, prepare the data for analysis and annotate datasets with descriptions for multiple uses.  We also foresee the role helping to identify existing datasets around the University that could be used by courses and for research.  Data Collection and Programing — Your role will assist in the creation of tools that collect data from many disparate sources such as SQL and NoSQL, databases,  APIs, web scraping, flat files, and other file formats. Your interaction with the research projects may include extended functionality to manipulate, identify duplicates, removing identifying data, etc through the use of tools. Documentation and Training of Tools — Your role will participate in a larger group to provide workshops on the use of data and data manipulation tools.  This will include creating documentation of how to use tools in our supported environments such. Documentation and Cataloging of Data — Your role will document data such as meta-data, schemas and more so that researchers may consume prepared data for use in their own analysis.  This documentation will include how the data are manipulated and assumptions used for any summaries or statistics. Development of Self and Others — You will explore new tools and technologies through formal and self-directed learning. Research and provide advice to team on latest application technology trends to support ongoing development of existing tools and services.

Required Qualifications

  • Bachelors degree in a related field and/or equivalent combination of education, certification and experience
  • Two (2) years of experience in collecting, discovering, cataloging, manipulating, and transforming data
  • Python Proficiency
  • Very Basic SQL experience
  • Linux Proficiency
  • Experience with data from different fields and domains
  • Comfortable supporting a broad range of research (students, researchers, and faculty)
  • Ability to communicate effectively via email, letters, and in person to teams and customers
  • Ability to work independently and collaboratively

Desired Qualifications

  • Masters or PhD in related area
  • Experience working in an academic environment
  • Familiarity with big data tools from the Hadoop ecosystem such as Mapreduce, Spark, Hive, Impala, etc.
  • Understanding of any of the following numerical techniques:  causal inference, selection bias, dimensionality reduction (Singular value decomposition, Principal component analysis)
  • Understanding of Machine Learning tools such as Tensorflow, PyTORCH, Scikit, CNTK/Microsoft Cognitive Toolkit, Power AI, Theano, Caffe, etc.
  • Understanding of Machine Learning/AI methods such as random forest, neural networks, Markov models, etc.
  • Proficiency in any of the following:  R, SAS, SPSS, Tableau, Perl, C/C++, Go, etc.
  • Advanced SQL experience
  • Experience with any of the following:  Compilers, Makefiles, and common build chains (autoconf/automake, CMake, pip, easy_build, Spack)

Diversity, Equity and Inclusion

The University of Michigan Information and Technology Services seeks to recruit and retain a diverse workforce as a reflection of our commitment to serve the diverse people of Michigan, to maintain the excellence of the University and to offer our students richly varied disciplines, perspectives and ways of knowing and learning.

Comprehensive Benefits

The University of Michigan Benefits Office is committed to offering a high-quality benefits package to support faculty, staff and their families.  Learn more about our 2:1 retirement matching, healthcare plans with nationwide coverage including prescription drug coverage, three dental plans, a vision plan, flexible spending account, well-being programs, long-term disability, automatic life insurance, general legal services, three early childhood centers, time away from work and work-life programs to promote balance.  Learn more at hr.umich.edu/benefits-wellness

Application Procedure

To be considered, a cover letter and resume are required.  The cover letter must be the leading page of your resume and should:

  • Specifically outline the reasons for your interest in the position and
  • Outline your particular skills and experience that directly relate to this position.
  • For more information, and to apply, use the link found here

Starting salaries will vary depending upon the qualifications and experience of the selected candidate.

Salary: $68,462.00 – $89,000.00

Work Location: Ann Arbor Campus, Ann Arbor, MI

Full-Time Position


Research Opportunity, Mechanical Engineering, TREE Lab – Summer 2019

By | Educational, Research, SC2, SC2 jobs

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

Dr. Bala Chandran is seeking a highly motivated graduate (doctoral or masters) student interested in
doing research in the broad area of understanding radiative heat transfer in granular and
suspension flows via computational modeling for applications of high-temperature
energy storage and catalysis applications. Applicants are expected to have a sound
knowledge of fluid/continuum mechanics and the fundamentals of heat-transfer;
experience in complex fluids or multiphase flows is desirable, though not essential.
Applicants should be interested in the computational aspects of this project to develop
and write code.


  • Strong analytical and computational skills, and intellectual independence (i.e.,
    able to read books and papers and learn by oneself; able to apply theoretical
    knowledge to practical situations)
  • Relevant course work and experience related to
    • Undergraduate level fluid mechanics, solid mechanics, heat transfer,
      radiation, numerical methods and programming, computational fluid/solid
    • Graduate level courses on any/all of the above topics will be a plus point
  • Excellent professional and work ethic
  • Team player that is ready to interface with people developing experiments on
    this project

Application Procedure

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

  1. A 2-page CV with references listed
  2. Unofficial academic transcript
  3. 1 one-page (maximum) statement of interest that explains why you are best suited for working on the proposed research topic and indicates how you meet the required project criteria.
  4. Slides (maximum 5) that showcase your research experience and contributions

PhD student opening in Global Ocean Modeling and Scientific Computing

By | Educational, SC2 jobs

A PhD student is sought for a Department of Energy (DOE)-funded project in Global Ocean Modeling and Scientific Computing. The student will work with Professor Brian Arbic at the University of Michigan (U-M), Dr. Phillip Wolfram and Dr. Andrew Roberts of DOE’s Los Alamos National Laboratory, and other DOE scientists. The student will be admitted to the PhD program of the Department of Earth and Environmental Sciences, and will attain a joint PhD in U-M’s Program in Scientific Computing.

Project Description

The project involves insertion of tides into the ocean component of the DOE Energy Exascale Earth System Model (E3SM). The ocean component is based upon the Model Prediction Across Scales (MPAS) code, which uses a finite-element mesh to focus attention on coastal regions. With the addition of tidal forcing, the model will be an ideal tool with which to quantify the changes likely to occur in coastal areas over the next 50-100 years. The student will be strongly encouraged to spend significant time in Los Alamos, working alongside DOE scientists. The project is ideal for students who wish to apply the tools of scientific computing to societally relevant problems, in a university-DOE partnership with significant networking and travel opportunities. The project will increase the number of professionals familiar with both oceanography and computational science, an identified need in several federal ocean modeling centers including Los Alamos National Laboratory.

Application Procedure

  • Applicants must have strong quantitative and programming skills. Backgrounds in mathematics, computer science, physics, and related fields will be given highest consideration.
  • The preferred start date is January 1, 2020, but a start date of September 1, 2020 is also possible.
  • Students interested in applying to work with Professor Arbic should email their CV, unofficial transcript and cover letter, combined into a single PDF file to: Arbic-Ocean-Modeling-PhD@umich.edu. Questions about the project may also be sent to this email address.
  • In addition, an application to the PhD program in Earth and Environmental Sciences is required. See the Department website for application information. The application deadline to start in January 2020, is September 15, 2019. The application deadline for Fall 2020 is January 7, 2020.

The University of Michigan is an equal opportunity employer and is supportive of the needs of dual career couples. Women and minorities are encouraged to apply

[SC2 Jobs] Postdoctoral position for Prof. Grosch’s Group

By | General Interest, News, SC2 jobs

Job Description

Prof. Grosch’s Group in the Department of Mechanical Engineering is currently seeking a post-doctoral scholar to work on our NIH-funded cochlear mechanics project. The position involves high-performance, time-domain computations in order to model the fluid-structure interaction in the cochlea including electro-mechanical coupling via the biologically piezoelectric outer hair cells. The candidate should have a PhD in Engineering or a related field (e.g., Biophysics, Mathematics, or Computer Science) with experience Scientific Computing and an interest high performance for nonlinear dynamics simulations. Prior experience in cochlear mechanics is not required.


If you are interested in this position, please send Karl Grosh (grosh@umich.edu) your curriculum vitae and at least two references.

[SC2 Jobs] Job Openings in KLA-Tencor

By | General Interest, News, SC2 jobs

Job Description

KLA-Tencor Corporation is a leading provider of process control and yield management solutions and partners with customers around the world to develop leading edge inspection and metrology technologies. These technologies serve the semiconductor and global electronics industry. With a portfolio of industry-leading products and a team of world-class engineers and scientists, the company has created superior solutions for its customers for more than 40 years.

KLA-Tencor is ramping a R&D center in Ann Arbor and is looking for brilliant Computational & Data scientists and Machine Learning experts to join the company. Please see the table below for the job lists and links to job descriptions, where you may apply for the job directly. If you have questions regarding these positions, please email Tina Revels at Tina.Revels@kla-tencor.com

KT Job Opening # Posting Title Link to Webpage for Job Descriptions and Application
119639 Research Scientist https://careers.kla-tencor.com/jobs/3341509-research-scientist
119638 Research Scientist https://careers.kla-tencor.com/jobs/3341508-research-scientist
119203 Sr. Software Engineer (Big Data) https://careers.kla-tencor.com/jobs/3259406-sr-software-engineer-big-data
119637 Algorithm Engineer https://careers.kla-tencor.com/jobs/3341507-algorithm-engineer
119446 Supply Chain Specialist https://careers.kla-tencor.com/jobs/3259407-supply-chain-specialist
119267 Senior Algorithm/Research Scientist ( Machine Learning | Statistical analysis | Optimization ) https://careers.kla-tencor.com/jobs/3265156-senior-algorithm-slash-research-scientist-machine-learning-statistical-analysis-optimization
119268 Senior Algorithm/Research Scientist ( Machine Learning | Statistical analysis | Optimization ) https://careers.kla-tencor.com/jobs/3265157-senior-algorithm-slash-research-scientist-machine-learning-statistical-analysis-optimization
119260 Algorithm Engineer https://careers.kla-tencor.com/jobs/3265069-algorithm-engineer
119262 Algorithm Engineer https://careers.kla-tencor.com/jobs/3265070-algorithm-engineer
119537 Research Scientist https://careers.kla-tencor.com/jobs/3310393-research-scientist