PAY GRADE: 32S

DEADLINE: Open until Filled

CONTEXT OF JOB:

The University of Delaware is leading a major node in the Rapid Advancement in Process Intensification Deployment (RAPID) Manufacturing Institute led by the American Institute of Chemical Engineers (AIChE) focusing on catalysis and reactors. Institutionally, RAPID reports to the Vice President for Research, Scholarship & Innovation.

Under limited supervision of the Director, the Computational Scientist will work with an interdisciplinary team of researchers who will integrate existing software components and build missing ones from available prototypes, build the cyber ]infrastructure ]enabled data hub and software to accelerate the petroleum, chemicals, energy, and food industries, and be responsible for providing infrastructure to enable modularization of RAPID applications and more broadly the chemical industry.

MAJOR RESPONSIBILITIES:

• Deploy open ]source software development environments supported by Agile SE methodology, open ]source software tools and repositories, and code and documentation licenses and distribute it under the GNU license.
• Design standard interfaces and protocols for data and code integration and management by relaying on document creation, execution, data provenance, (re)usability, and reproducibility.
• Integrate new technologies such as Containers (i.e., Docker and Shifter); Cloud services (i.e., open ]source XSEDE jetStream and commercial IBM Bluemix, AWS, and MS Azure); In ]situ and in ]transit data analysis (i.e., DataSpaces).
• Establish standard procedures with training opportunities e.g., data Carpentry and software Carpentry; Software services and solutions.
• Leverage statistical modelling and programming skills to derive actionable insights out of large and/or structured, semi and unstructured datasets.
• Establish scalable, efficient, automated processes for model development, model validation, model implementation and large scale data analysis for deployment in the business
• Architect, build and prototype new data models and pipelines
• Work with distributed teams in developing predictive and personalized systems and create efficient algorithms to draw intelligence from existing data
• Collaborate with business and data owners to identify and provide technical solutions for key business use cases and POCs
• Independently execute data and analytics projects
• Research and evaluate new analytical methodologies and approaches
• Help expand organizational knowledge on analytics and machine learning techniques through training and mentoring.

• Perform miscellaneous job-related duties as assigned.

QUALIFICATIONS

• Master's degree with six years' experience in application programming and data analytics, or equivalent combination of education and experience. Degree in computational sciences, physics, applied mathematics, computer science, or a related scientific discipline preferred.
• Experience with numerical methods, parallel algorithms, MPI, a common scientific computing programming language (i.e. Fortran, C, and/or C++).
• Experience with parallel software development on large-scale computational resources.
• Excellent interpersonal skills, oral and written communication skills, organizational skills, and strong personal motivation.
• Ability to manage tasks within deadlines with high standards.
• Ability to work individually, as well as proactively partner with small teams of scientists during all stages of projects, including planning and execution.
• Advanced knowledge and experience in applying several modelling techniques which may include: solution of ordinary differential equations and algebraic equations, linear algebra, segmentation & clustering, mixed effect models, response & lift modelling, experimental design, Bayesian statistics, text analytics, SVM, Neural Nets, Random Forest, Optimization Algorithms, Multivariate testing.
• Proven ability to sift through data, identify critical information, develop hypotheses, identify appropriate data science techniques and perform rigorous analyses to deliver new insights and solve business problems.
• Excellence in at least one of the common data science toolkits - R or Python.
• Experience in areas like Deep learning, AI, and NLP is a plus.
• Familiarity with relational databases and intermediate level knowledge of SQL.
• Experience using data visualization tools, such as D3.js, GGplot, etc is a plus.
• Experience with one or more prominent simulation codes (e.g. NWCHEM, ANSYS Fluent, GAMESS, Quantum Espresso, GROMACS, AMBER, VASP) is a plus.
• Experience with general purpose graphics processing units (GPGPUs), vectorization, developing and debugging massively parallel algorithms, and code performance profiling is a plus.

Equal Employment Opportunity

The University of Delaware is an Equal Opportunity Employer which encourages applications from Minority Group Members, Women, Individuals with Disabilities and Veterans. The University's Notice of Non-Discrimination can be found at http://www.udel.edu/aboutus/legalnotices.html

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