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[SC2 Jobs] The UCL Research Software Development Group

By | SC2 jobs

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

[SC2 Jobs] Research Application Specialist Intermediate/Associate at the University of Michigan

By | SC2 jobs

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

[SC2 Jobs] The Science, Mathematics And Research for Transformation (SMART) Scholarship for Service Program

By | SC2 jobs

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

[SC2 Jobs] The Data Incubator Fellowship Program

By | SC2 jobs

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.

[SC2 Jobs] Postdoctoral position at the NIH/NIMH

By | SC2 jobs

We are seeking enthusiastic applicants for a Post-Doctoral Fellowship position to help with the collection and analysis of large brain-imaging datasets. The successful candidate will use state-of-the-art artificial intelligence methods, with the aim of better understanding psychiatric disorders in young people with mental illness, particularly anxiety and depression. Our goal is to understand better the causes and mechanisms of certain psychiatric disorders, improve their definition and classification, and ensure the best treatment can be offered to psychiatric patients.

The successful candidate will develop and apply deep learning algorithms to multi-modal imaging datasets that include MRI (functional, structural), EEG, MEG, and associated behavioral and clinical data. The methods developed by the successful candidate will be used to:

– Integrate these diverse sources of information.

– Inform the construction computational models in psychiatry.

– Test the validity of such models.

Requirements: 

Candidates with a strong computational background (e.g. PhD in Engineering, Physics, Computer Science, Mathematics, Statistics, Computational Neuroscience, and related areas) who are interested in brain development and psychopathology, are particularly encouraged to apply. Requirements for this position include:

– Strong machine learning experience;

– Programming experience in Python (preferably), or in R/Matlab/Octave;

– Experience with open source machine learning libraries such as Scikit-learn, Theano, and/or Tensorflow;

– Excellent interpersonal and written (English) communication skills.

Background experience in psychiatry or knowledge of neuroimaging software are not required. However, the candidate will be expected to learn some of these topics as part of their role in our research group.

The successful candidate will work jointly with the laboratories of Drs Daniel Pine and Argyris Stringaris, and together with Dr Anderson Winkler, Staff Scientist. Please write to Drs Pine (pined@mail.nih.gov), Stringaris (argyris.stringaris@nih.gov) or Winkler (anderson.winkler@nih.gov) with your application and CV.

Job category

Postdoctoral position

 

[SC2 Jobs] Schlumberger Summer Internship: 3D EM solver optimization

By | SC2 jobs

The Mathematics and Modeling Department at Schlumberger Doll Research (SDR) is investigating the development of state of the art data science methods to measurement data pertaining to complex problems in the development of oilfields. The data are acquired inside wells using multi-physics measurements ranging from electromagnetic (optical, NMR, low-frequency EM, resisitivity) to acoustical (ultrasonic, sonic, seismic).

Schlumberger-Doll Research (SDR) is the prime corporate research center for Schlumberger, the world’s leading supplier of technology, integrated project management and information solutions to customers working in the oil and gas industry worldwide. SDR hosts more than 110 scientists working in various fields including geophysical measurements, geosciences, and computational sciences. SDR is located in Cambridge at minute-walking from many landmark buildings such as MIT CSAIL Stata center. Several dozen interns are hosted each summer at SDR. Previous interns have highlighted the working environment, camaraderie, diversity in expertise and domains of interest, learning about new technical challenges, the cafeteria and the outside activities offered in Cambridge as prime elements they enjoyed during their stay at SDR. Internships have often lead to presentations, conference and journal publications as well as patent applications.

Applicants should send a brief letter of intent and resume via E-mail to SDRJobs@slb.com with the reference MM-SZ.

Schlumberger is an equal opportunity employer and is committed to the diversity of its workforce.

Responsibilities and Qualifications:
The intern will work within a multi-disciplinary team to adapt and implement new 3D low frequency finitie-difference EM solver for 3D oil reservoir characterization and real-time reservoir mapping and navigation.

The 3D solver needs to be paralllelized and optimized for performance on multicore Windows and Linux platforms and on GPUs. The will be interfaced to imaging inversions.

The successful summer intern has a stronger background in HPC, fortran, and experience with optimizing computational algorithms. Familiarity with PDE solvers and computational electromagentics is preferred.

Advanced undergraduate or graduate (MS/PhD) student in Applied math, CE, CS, EE, ME, or related fields with courses, and preferably thesis work, related to the subject domain.

Job category

Summer Internship: 3D EM solver optimization

Location

Schlumberger Doll Research (SDR), Cambridge, MA, USA

 

[SC2 Jobs] Coding Institute Workshop for SGCI

By | SC2 jobs

The Science Gateways Community Institute will host a Summer 2018 workshop that will be a four-week Coding Institute for undergraduate students that will take place on the campus of Elizabeth City State University. The workshop will cover the core skills needed to be productive in the design and maintenance of science gateways. The program will be presented as short tutorials alternated with practical experiences, and all instruction will be done via live coding.

Eligible applicants are undergraduate students majoring in computer science or computer engineering (or related fields) who have an interest in the design and maintenance of science gateways. Ten participants will be selected for the Coding Institute. Participants of the Coding Institute will receive a weekly stipend of $500 plus funding for transportation and housing. All selected participants will be required to attend both the PEARC18 and Gateways 2018 conferences. Funding to attend both conferences will be provided by SGCI’s Workforce Development.

If you are an undergraduate student who would like to apply for the four-week Coding Institutecomplete this application form. The deadline for submitting this application form and supporting documents is April 27, 2018.

 

Minimum Requirements:
•Undergraduate majoring in Computer Science or Computer Engineering (or related fields) and have an interest in the design and maintenance of science gateways

Job category

Coding Institute Workshop

Location

Elizabeth City, NC

Application deadline

April 27, 2018

[SC2 Jobs] Gateway Development Internship for SGCI

By | SC2 jobs

The Workforce Development team from SGCI offers eight-week summer internships for students interested in developing their gateway development skills. Participants will be placed at one of the seven universities that form the SGCI partnership, or a specific site can be suggested by an SGCI client, partner, or others who are interested in hosting a student intern.

Eligible applicants include graduate students majoring in computer science or computer engineering (or related fields) at any level and undergraduates majoring in computer science or computer engineering (or related fields) who have completed their junior year and who demonstrate strong programming and software engineering skills.

Participants will receive a stipend, plus housing and transportation. Interns will be required to attend the Gateways 2018 conference, for which Workforce Development will provide funding. Attending PEARC18 is recommended, but not required. Funding will be provided by Workforce Development to interns who decide to attend.

Learn more about the internship opportunity by reading these blog posts written by some of the students who worked as SGCI interns during summer of 2017:

Summer 2018 Gateway Development Internships

If you are a student and would like to apply for an internshipcomplete this application form. The deadline for submitting this application and supporting documents is April 27, 2018. We will begin to fill slots on March 9, 2018, and will continue the review process until all slots are filled.

 

Application deadline

April 27, 2018

[SC2 Jobs] SLATE: A Platform for Scientific Cyberinfrastructure

By | SC2 jobs

We are looking for motivated individuals interested in learning cutting-edge technologies to help us develop, prototype and test SLATE: Service Layes At The Edge, a collaborative project between the University of Michigan, University of Chicago and the University of Utah.  The SLATE team is working to deliver a new platform for scientific cyberinfrastructure (see http://slateci.io/). Building upon container-based technologies (e.g. Docker, Kubernetes, Helm, …) we aim to create a distributed environment where scientific collaborations can create, deploy and operate the tools they need to manage their data collection, distribution, and processing.

The successful candidate will help to take existing applications and package them in a way that can be readily used within the platform so that the details of installation, configuration, and operations of the application are taken care of for the scientific user. The candidate will learn how to use the latest container technologies and how to use them to solve concrete problems. The position will pay 12-15$ an hour based on experience for 20-30 hours a week depending on availability of the candidate.

 

Minimum Requirements:

* Basic experience with Linux administration

 

Preferred Requirements:

* Experience with source control (e.g. git)

* Experience with virtual machine technology (e.g. VirtualBox)

* Experience with container technology (e.g. Docker)

 

If interested, please send your CV to Brock Palen brockp@umich.edu

 

[SC2 Jobs] Machine Learning Scientist for Toyota Research Institute of North America

By | SC2 jobs

Toyota Research Institute of North America, located in Ann Arbor, Michigan, is seeking a machine learning scientist to support the in-house research activities. This individual will join a team responsible to develop state-of-art methodologies for material informatics. The position requires staying abreast of emerging field of machine learning, performing original research, publishing/presenting results, involve in collaborative research. Candidate must be able to work effectively with a diverse group of scientists.
The position is subject to annually contract renewal.

Key Responsibilities:
• Develop machine learning models to deal with problems/challenges in material informatics;
• Establish tools to collect and structure materials data and harvest valuable information
subsequently;
• Perform text mining from scientific literatures and internal technical documents;
• Frequently communicate with materials scientist within the organization;
• Effectively respond to the challenges emerging in materials project;
• Regularly report and present to the research team and managements;

Minimum Requirements:
• MS or above degree in Computer Science, Statistics or related technical field or equivalent
practical experience;
• Strength with machine learning and text mining techniques;
• Fluency in programming languages (Python, C/C++, Java);
• Hands-on experience with statistical software (R, SAS, Matlab, Python);
• Strong verbal and written communication skills;
• Self-motivated, intelligent individual with initiative and drive for overcoming technical
challenges;

Preferred Requirements:
• Experience with deep learning techniques;
• Experience in projects related to materials science, chemistry and physics;
• Established capability in scientific writing and presentation;

 

The applicant should send the resume to chen.ling@toyota.com before February 9, 2018.

Job category

Machine Learning Scientist

Location

Ann Arbor, MI

Application deadline

February 9, 2018