Optimization Research Scientist

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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

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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/

Modeling and Simulation Engineer/Scientist

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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

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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

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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

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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

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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

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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