2020 Argonne Training Program on Extreme-Scale Computing (ATPESC)

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2020 Argonne Training Program on Extreme-Scale Computing (ATPESC)

Application deadline: March 2, 2020.

There are no fees to participate in ATPESC. Domestic airfare, meals, and lodging are also provided.

Apply for an opportunity to learn the tools and techniques needed to carry out scientific computing research on the world’s most powerful supercomputers. ATPESC participants will be granted access to DOE’s leadership-class systems at the ALCF, OLCF, and NERSC. This year’s program will take place July 26–August 7, 2020.

PROGRAM CURRICULUM

Renowned scientists and leading HPC experts will serve as lecturers and guide the hands-on sessions. The core curriculum will cover:

  • Hardware architectures
  • Programming models and languages
  • Data-intensive computing and I/O
  • Visualization and data analysis
  • Numerical algorithms and software for extreme-scale science
  • Performance tools and debuggers
  • Software productivity
  • Machine learning and deep learning for science

ELIGIBILITY AND APPLICATION

Doctoral students, postdocs, and computational scientists interested in attending ATPESC can review eligibility and application details on the website.

Senior Scientist – Artificial Intelligence for R&D position available with the BASF Corporation

By | SC2 jobs

Senior Scientist – Artificial Intelligence for R&D with BASF

Location: Wyandotte, MI (preferred) or Tarrytown, NY

BASF is seeking a professional like you to join the Data Science community and shape the future of digitalization in Research and Development.  An Artificial Intelligence System (AI) observes its environment and takes actions that maximize its chance of success at a given goal. As AI expert, you will create such systems that learn and decide for multiple application areas in materials and systems research as well as process and quality control.

BASF will look to you to have demonstrated that you can build AI systems based on machine learning technology by integrating advanced algorithms with interfaces for sensors and actors.  In contrast to an isolated developer, you appreciate and understand experts from all areas of Data Science, including Automation & Information Technology, Data Analytics, and Data Management.  This is an excellent opportunity for you to demonstrate your experience in multiple projects using different IT environments (e.g. Lab Automation systems like LabView, Big Data systems like Hadoop; Machine Learning frameworks like scikit-learn; and programming languages like R or Python), your thorough understanding of data driven workflows, and your knowledge of statistical methods and their industrial application.  You will also share your agility, creativity, and entrepreneurial thinking with the team while feeling comfortable in a diverse, interdisciplinary, and challenging environment.  Your superior consultancy mindset with a high degree of flexibility and an ability to learn and adapt to new applications quickly will also be key to your success in this role.

Qualifications

  • BASF recognizes institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent
  •  Leveraging your PhD in science or engineering with a focus on quantitative analytics (or equivalent qualification) and your experience in the field of Machine Learning and Artificial Intelligence – so much so that you are recognized as an expert, you will evaluate new approaches and explore new applications for AI.
  • Your experience in the Chemical (or related) industry and your excellent project management and collaboration skills will be essential as you initiate, execute, and lead AI projects in collaboration with research and business units in diverse high performing teams.
  • Demonstrating your international and industrial working experience, including your proven track record in working within multinational teams, filling the innovation pipeline, and executing projects with high business impact, you will define and develop novel AI solutions and liaise with academic experts and commercial providers.
  • Your excellent communication and interpersonal skills, along with your proven track record of relevant publications in peer-reviewed journals, will serve you well as you communicate and disseminate AI to a broad community of scientists and managers.

Visit the job positing for more information or to apply for the position.