Independent staff scientists to advance the use of quantum algorithms such as Quantum Phase Estimation (QPE), Variational Quantum Eigensolver (VQE), Quantum Adiabatic Evolution & Optimization, and Quantum Machine Learning Algorithms (QML) to accelerate the discovery of new materials and molecules.
Compensation
$65,122.00 - $150,000 (salary will be assessed based on skills and experience)
Responsibilities
Quantum simulation and quantum AI algorithm tool development
Working with the AC community, including faculty and partners, to determine how quantum or quantum-inspired tools can increase the capabilities of the AC’s SDLs or materials discovery campaigns
Working independently to develop research programs that leverage the AC’s SDLs and support the research objectives of AC faculty and industry partners
Working with the AC software engineering team to create software packages to deploy quantum computational tools
Managing the research and development projects of AC’s industry partners when implemented in AC labs
Advance the use of quantum algorithms such as Quantum Phase Estimation (QPE), Variational Quantum Eigensolver (VQE), Quantum Adiabatic Evolution & Optimization, and Quantum Machine Learning Algorithms (QML) to accelerate the discovery of new materials and molecules.
Compensation
Pay Scale Group & Hiring Zone: R01 -- Research Associates (Limited Term): $55,661 - $104,364,salary will be assessed based on skills and experience
Responsibilities
Quantum simulation and quantum AI algorithm tool development
Determine how quantum or quantum-inspired tools can increase the capabilities of the AC’s SDLs or materials discovery campaigns
Develop research programs that leverage the AC’s SDLs and support the research objectives of AC faculty and industry partners
Create software packages to deploy quantum computational tools
Implementing research and development projects of AC’s industry partners when implemented in AC labs
Participate in the pricing and risk analysis of various portfolios, develop light spreadsheet and marking tools using Python, and generate analytic reports for trading desks within the Shanghai Quantitative Analytics Group.
Responsibilities
Participate in the pricing and risk analysis of various portfolios
Develop light spreadsheet tools to help traders analyze and monitor their trading exposures
Develop marking tools using market information using Python
Develop library for the bank pricing and booking systems
Develop, generate and validate regular analytic reports for the trading desks
Requirements
Bachelor's degree from a top tier university in Science or Finance disciplines (Computer Science, Mathematics, Statistics, Quantitative Economics or Financial Engineering)
Architect delivery of capabilities across multiple programs through advanced models and simulations of platforms, sensors, weapons, and their interactions with the environment.
Utilize MSE&A of advanced systems using C++ object-oriented design, advanced data structures and test-driven development.
Develop large scale data analytics, probabilities, and statistics, including design of experiment techniques for evaluation of system and mission performance.
Integrate MS&A with operational flight software, collecting and analyzing data from laboratory or flight tests, and verifying simulation performance against flight test data.
Grants Consultants work alongside Content Directors and Researchers providing grant support services to Hanover’s higher education clients engaged in investigator-initiated research and team science.
Compensation
The compensation range for this opportunity at the company is $82,970 - $110,000.
Responsibilities
Review and revise STEM- and/or health science-focused proposal narratives to optimize competitiveness
Work closely with clients to create strong grant proposals from conception to submission
Provide highly professional consultative service to clients throughout the grant writing process
Coordinating with remote proposal development teams to ensure all proposals are submitted in a timely manner
Independently create client-ready deliverables with minimal guidance or oversight
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