Parsons Corporation Research Scientist II in Aberdeen, Maryland
Research Scientist II
Aberdeen, Maryland, United States
Research Scientist II
Aberdeen Proving Ground, MD
Are you an experiencedResearcher who thrives in a fast-paced environment working with teams in a support role? Imagine yourself working on top level critical network defense missions alongside other seasoned professionals. Parsons is now hiring top Research Scientists with a passion for innovation and solving mission critical challenges.
Parsons' extensive experience in this field, combined with your technical knowledge, will propel your career forward. Training, mentorship and the opportunity for advancement will keep you engaged and challenged. We need our researchers to be versatile, display leadership qualities and be enthusiastic to tackle new challenges.
If you are passionate about science and engineering, this is your chance to join in Parsons' team supporting the Army Research Laboratory at Aberdeen Proving Ground, MD.
Candidate will work with a team to investigate programmable networks in the context oftactical mobile computing platforms. Study programmable networks, classical and quantum, as an enabler for adaptive computing, especially using simulations to analyze network performance, understand algorithms, understand hardware performance, and to understand the effects of computational complexity on algorithm and network performance. Examples of network simulation environments that may be used are the open source Network Simulator 3 (NS-3), the Army tool EMANE, and Mininet. Conduct algorithm testing in MATLAB in its virtual network environment before deploying algorithms in a more realistic simulation environment using higher fidelity network and environment representations. (Experience with NS-3, EMANE or Mininet is not required.)
Implement and test algorithms in MATLAB
Incorporate algorithms in a generalized code and optimize algorithm performance
Conduct network simulations to assess algorithm performance in a more physically realistic environment
Run hardware simulations to understand performance impact on a network
Conduct compiler simulations to understand computational complexity
Assess the limitations of the MATLAB network environment
Customize software solutions to meet research and analysis objectives
Perform basic analytics on simulation data
Prepare and present
Bachelors' degree in Engineering, Computer Science, Mathematics or related field; Master’s degree preferred
At least 2 years of related professional experience withone or more of C++, Java, Python programming languages required
Experience with MATLAB a plus
Experience with machine learning, such as the Tensorflow framework, a plus
Good written and verbal communication skills
Due to the sensitivity of customer related requirements, U.S. Citizenship is required.
Applicants selected for employment will be subject to a federal background investigation and may need to meet additional eligibility requirements for access to classified information or materials.
Ready for action? We’re looking for the kind of people who see this opportunity and don’t hesitate to act. Parsons is a leader in the world of technical services. We hire people with a broad set of technical skills who have proven experience tackling some of the greatest challenges. Take your next step and apply today.
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Parsons is a digitally enabled solutions provider focused on the defense, security, and infrastructure markets. With nearly 75 years of experience, Parsons is uniquely qualified to deliver cyber/converged security, technology-based intellectual property, and other innovative services to federal, regional, and local government agencies, as well as to private industrial customers worldwide.
Parsons is an equal opportunity, drug-free employer committed to diversity in the workplace. Minority/Female/Disabled/Protected Veteran/LGBT.
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Parsons is an equal opportunity, drug-free employer committed to diversity in the workplace. Minority/Female/Disabled/Protected Veteran/LGBT
Parsons is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regards to an individual's race, color, religion, national origin, ethnicity, union affiliation, age, sex, sexual orientation, gender identity and expression, pregnancy, employable physical or mental disability, veteran status, genetic information, immigration status, or any other basis protected by applicable laws.