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Bayesian Phd Jobs in Ohio (NOW HIRING)

Huntington Ingalls Industries

$85K - $130K/yr

The ideal candidate has demonstrated experience in topics such as Bayesian inference, non ... PhD in related field; or High School Diploma or equivalent and 9 years relevant experience. * 3 ...

STR

Lead Algorithm & Signal Processing Engineer

Dayton, OH · On-site

$157K - $220K/yr

Government * BS, MS, or PhD in Electrical Engineering, Applied Mathematics, Physics, or related ... Bayesian, deep convolutional and graph neural network methods, and tools such as PyTorch, Ray ...

HII's Mission Technologies division

$126K - $180K/yr

Bayesian statistics * Desire and ability to learn technical challenging topics * Ability to communicate well with PhD's and leadership * Excel and Word skills The listed salary range for this role is ...

STR

Lead Algorithm & Signal Processing Engineer

Dayton, OH · On-site

$157K - $220K/yr

Government * BS, MS, or PhD in Electrical Engineering, Applied Mathematics, Physics, or related ... Bayesian, deep convolutional and graph neural network methods, and tools such as PyTorch, Ray ...

Huntington Ingalls Industries

$126K - $180K/yr

Bayesian statistics * Desire and ability to learn technical challenging topics * Ability to communicate well with PhD's and leadership * Excel and Word skills The listed salary range for this role is ...

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Bayesian Phd information

What are some common challenges faced by a Bayesian PhD researcher during collaborative projects?

Bayesian PhD researchers often collaborate with interdisciplinary teams, which can present challenges such as communicating complex statistical concepts to non-specialists and integrating Bayesian methods with other analytical frameworks. Balancing the depth of theoretical work with practical problem-solving, managing computational demands, and aligning project goals with collaborators' expectations are also common hurdles. Successful collaboration typically requires strong communication skills, adaptability, and a willingness to bridge methodological gaps between disciplines.

What are the key skills and qualifications needed to thrive as a Bayesian PhD?

To thrive as a Bayesian PhD, you need advanced knowledge of probability theory, statistical inference, and mathematics, typically supported by a doctoral degree in statistics, mathematics, or a related field. Proficiency with statistical programming languages like R, Python, and specialized Bayesian tools such as Stan or BUGS is essential. Strong critical thinking, problem-solving, and clear communication skills help in articulating complex analyses and collaborating across disciplines. These capabilities are crucial for developing rigorous models, conducting impactful research, and translating statistical insights into actionable solutions.

What is the difference between Bayesian Phd vs Data Scientist?

AspectBayesian PhdData Scientist
Required CredentialsPhD in Statistics, Mathematics, or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentResearch-focused, academic or specialized industry rolesBusiness-focused, tech companies, or consulting firms
Industry UsageAcademic research, advanced analytics, specialized modelingData analysis, machine learning, business insights
Common Search/ComparisonYesYes

While a Bayesian PhD specializes in advanced statistical modeling and research, a Data Scientist applies data analysis and machine learning techniques in practical business contexts. Both roles require strong analytical skills, but the Bayesian PhD typically focuses on theoretical development, whereas the Data Scientist emphasizes application and implementation.

What is a Bayesian PhD?

A Bayesian PhD typically refers to an individual who has completed a doctoral program with a focus on Bayesian statistics or Bayesian methods in their research. Bayesian statistics is a branch of statistics that uses probability distributions to represent uncertainty about unknowns, updating beliefs as new data becomes available. Students in this field learn to develop and apply Bayesian models to a wide range of problems in science, engineering, and social sciences. A PhD program with a Bayesian focus often involves advanced coursework in probability theory, statistical inference, and computational methods, as well as original research using Bayesian approaches.
What are popular job titles related to Bayesian Phd jobs in Ohio? For Bayesian Phd jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Bayesian Phd jobs in Ohio look for? The top searched job categories for Bayesian Phd jobs in Ohio are:
Bayesian Phd jobs near you

Microelectronics Security Data Scientist

Riverside Research Institute

Dayton, OH • On-site

$130K - $215K/yr

Full-time

Posted 8 days ago

Job description

Riverside Overview
Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the country's most challenging technical problems.
All Riverside Research opportunities require U.S. Citizenship.
Position Overview
The Riverside Research Engineering and Support Solutions (ESS) directorate conducts Research and Development (R&D) of cyber-physical attacks against embedded systems. As a Microelectronics Security Data Scientist, you will collaborate with a multi-disciplinary team of research engineers and scientists on a wide range of microelectronics research projects. You will work directly with a team of hardware security research subject matter experts (SME), the senior Principal Investigator, Technical Lead, and Program Manager to support various project-specific research projects developing solutions to complex, open-ended hardware security problems. The position is in Dayton, OH and requires each employe to possess and maintain a security clearance. Remote work is not available for this position. Travel is not expected to exceed two to four times a year.
Responsibilities
Job Responsibilities
  • Conduct research in the application of data science, including deep learning and complex statistical data analysis, for problems within microelectronic hardware security
  • Perform all aspects of the data science lifecycle; gather requirements from non-data science technical staff, propose technical approaches, pre-process data, perform exploratory data analysis, model the data, critically evaluate performance of the model, and present findings
  • Develop whitepapers and presentations to communicate research findings
  • Contributes to proposals for new research in similar and/or related technology areas
  • Provide technical mentorship to junior researchers supporting your programs
  • Works collaboratively with customers, multi-disciplinary research partners and Riverside Research business, engineering, and technology teams on complex research and development projects

Qualifications
Required Qualifications
  • A minimum of 5 years of related experience with a Bachelor's degree, 3 years with a Masters degree, a PhD without experience, or equivalent work experience is typically required for an employee at this level.
  • Secret clearance required to start, but must be able obtain Top Secret security clearance and all required program access approvals
  • Expertise with machine learning in one or more of the following: Unsupervised Learning, Bayesian classifiers, Regression, Random Forests, Deep Learning, Graph Neural Networks, Belief Propagation, Statistical Inference, Dimensionality Reduction
  • Proficient in Python and popular data science libraries (NumPy, Scikit-Learn, Matplotlib, etc.)
  • Demonstrated experience across the full data science lifecycle, for classification/regression, clustering, basic text analytics, image recognition, or other related applications.
  • Experience presenting technical material to both technical and non-technical audiences
  • Ability to manage timelines, product delivery, and product quality for research projects
  • Willing to work in a secure US Government facility
  • Interest in solving open-ended research challenges
  • Willing to travel 2-4 times per year
  • Bachelor's Degree in a quantitative discipline (e.g., computer engineering, electrical engineering, statistics, computer science, mathematics, physics, or other STEM fields) and 5 years' experience, or Master's Degree in a related discipline and 3 years' experience, or a PhD in a related discipline

Desired Qualifications
  • Active DoD Top Secret (TS) or equivalent US Government security clearance
  • Experience with TensorFlow, PyTorch, or similar Deep Learning framework
  • Experience with parallel and distributed processing of large data sets across multiple GPUs
  • Experience with data transformations such as Principal Component Analysis (PCA)
  • Experience using revision control software
  • Experience leading a small technical team on research projects
  • Understanding of information theory and its application to cryptographic algorithms
  • Understanding of signal processing is highly desired
  • Bachelor's Degree in a quantitative discipline (e.g., computer engineering, electrical engineering, statistics, computer science, mathematics, physics, or other STEM fields) and 8 years' experience, or Master's Degree in a related discipline and 3 years' experience, or 3 years' practical experience with a PhD in a related discipline

Global Comp
This represents the typical compensation range for this position based on experience, location and other factors.
Closing Statement
Riverside Research Institute is a not-for-profit, technology-oriented defense company, where service to our customers and support of our staff is our overall mission. Riverside is an affirmative action-equal opportunity employer and complies with all applicable federal, state, and local laws regarding recruitment and hiring. Riverside offers comprehensive compensation and benefit packages to our employees.
Riverside bases its employment decisions solely on technical experience, qualifications and other job-related criteria related to our organizational purpose as a not-for-profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veteran's status or any other status legally protected by applicable federal, state, and local law.

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