News

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.

Responsibilities

• 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.

Role/Qualifications

• 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.

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.

Responsibilities

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

Job Descriptions

Intact Solutions is developing next generation analysis and simulation software that delivers unmatched levels of automation and simplicity of operation. We are creating easy to use software that allows real people to get real work done, and we have technology that is limited only by imagination. We have grand ideas of where our technology can grow, and we need hands and minds to help us deliver. We are offering ground floor opportunities to join a rapidly growing technology startup.

We are looking for a few good people who can make immediate contributions, team players, self-starters, and upbeat “can-do” personalities, all with dedication to customer service. Most positions are located in Madison, WI, but working remotely from other locations may also be possible. Open positions are listed here.

Open Positions

Research Scientist/Engineer
C++ Engineer
Javascript/WebGL Engineer

Paid internships are available if you are a student studying in one of the areas listed above.

Applying

To apply, please email your CV, cover letter, and references to:

Human Resources
email: info@intact-solutions.com
fax: 510-550-2530

Job Description

The UCL Research Software Development Group, founded in 2012, was the first of its kind, and is one of the leading university-based research programming groups in the UK. We are currently a team of 11 RSEs and we are looking for a new person to join us!

We work across college developing high-quality software in collaboration with scientists, engineers and scholars from all research domains.

Whether this means using Python to build up a database of ancient Sumerian writings, parallelising Fortran codes for surface catalysis simulations, adding red blood cells to a supercomputing simulation of brain blood-flow, refactoring DNA forensics code in R, or designing and building a big data image processing library in C++11 and Python, we do it all (http://bit.ly/ucl-rse-projects), bringing specialist programming expertise, modern development practices (CI, TDD, Agile…), and engineering rigour to academic software. We provide expert software engineering consulting services to world-leading research teams, and collaborate with scientists and scholars to build software to meet new research challenges.

For more details check out http://bit.ly/ucl-rse-oct18. Applications must be received by 14th October 2018. This position is permanent but subject to the availability of continued funding sourced from appropriate research collaborations, and is funded for two years in the first instance, with salary negotiable up to £46,359. On this occasion, we would also welcome applications from candidates interested in a part-time position.

Requirements

If the following describes you, then you should consider working with us:

• You have created and maintained software to address research problems in one or more fields.
• You can rapidly assimilate understanding of new scientific questions, and quickly connect research needs to software requirements.
• You are committed to software development best practices, and know how to adapt these to research contexts.
• You are expert in one or more languages and platforms used for scientific computing, and are keen to expand your knowledge.

Location

London, UK

Dates

Full time or part-time, funded for two years

Application Deadline

October 14, 2018

Job Description

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 tools such as scientific computing, High Performance Computing (HPC), Big Data (Hadoop, Spark, DBMS, etc), Machine Learning, cloud computing services (AWS, Azure, GCP) and more.

Your position will be part of a team supporting all University-wide ARC-TS services as well as national services such as NSF XSEDE.  Your primary responsibilities will be to build and install open-source and commercial software, as well as to provide support to users doing the same.  Other responsibilities will include making presentations and providing training to users, writing internal and user documentation and outreach

For more information, see the job posting here.

Requirements

• Bachelor’s degree in computer science, engineering or an equivalent combination of education and experience
• Strong Linux command line skills
• Two (2) or more years of experience providing IT support or working in an academic, research or scientific focused environment
• Basic understanding of building code from source on Linux systems using common tools such as autoconf, Cmake and others
• Demonstrated ability:
  • to debug compiling and linking issues related to includes, libraries or makefiles
  • with bash shell scripting and one (1) of Perl, Python or Ruby
  • to communicate technical concepts effectively via email, letters and in person to teams and customers

Location

University of Michigan

Dates

This is a full-time; term-limited position ending after three (3) years with the intent to re-evaluate for potential extension.

Application Link

http://careers.umich.edu/job_detail/161555/research_application_specialist_intermediate_associate

Fellowship Description

The Science, Mathematics And Research for Transformation (SMART) Scholarship for Service Program is an opportunity for students pursuing an undergraduate or graduate degree in Science, Technology, Engineering, and Mathematics (STEM) disciplines to receive a full scholarship and be gainfully employed by the Department of Defense (DoD) upon degree completion.

Applicants MUST be pursuing a technical degree in one of the 21 STEM disciplines listed here. SMART will not fund any management or non-technical degrees. Students pursuing technical degrees related to the following are encouraged to apply:

Requirements

• citizen of the United States, Australia, Canada, New Zealand, or United Kingdom at time of application,
• 18 years of age or older as of August 1, 2019
• able to participate in summer internships at a DoD facility,
• willing to accept post-graduate employment with the DoD,
• a student in good standing with a minimum cumulative GPA of 3.0 on a 4.0 scale
• pursuing a technical undergraduate or graduate degree in one of the disciplines listed on the About SMART page.

Application Due Date

All applicants are required to submit applications online by December 1, 2018 at 5:00 PM EST. All supporting materials must be received by December 1, 2018 at 5:00 PM EST.

Application Link/More Information

https://smartscholarshipprod.service-now.com/smart id=kb_article&sys_id=0383c5d6db2a03006bb8f4b40f961956

Job Description

The Data Incubator is an intensive 8 week fellowship that prepares masters students, PhDs, and postdocs in STEM and social science fields seeking industry careers as data scientists. The program is free for Fellows and supported by sponsorships from hundreds of employers across multiple industries. In response to the overwhelming interest in our earlier sessions, we will be holding another fellowship.

Requirements

Anyone who has already obtained a masters or PhD degree or who is within one year of graduating with a masters or PhD is welcome to apply. Applications from international students are welcome. Everyone else is encouraged to sign-up for a future session.

Location

In addition to the below in-person locations, we will have a remote online session:

• New York City
• San Francisco Bay Area
• Boston
• Washington, DC.

Dates

All sections will be from 2018-09-10 to 2018-11-02.

Application Link

https://www.thedataincubator.com/fellowship.html#apply?ref=wcG93ZWxsQHVtaWNoLmVkdQo=

Data Science in 30 minutes

Learn how to build a data-science project in our upcoming free Data Science in 30-minutes webcast. Signup soon as space is limited.

Learn More

You can learn about our fellows at The New York Times, LinkedIn, Amazon, Capital One, or Palantir. To read about our latest fellow alumni, check out our blog. To learn more about The Data Incubator, check us out on Venture Beat, The Next Web, or Harvard Business Review.