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Postdoctoral In Bayesian Statistics Jobs in New York

Stevens

Postdoctoral Researcher

Hoboken, NJ

$58K - $60K/yr

The postdoctoral researcher will work in the Physics Department and the Center for Quantum Science ... statistics mandated by the Clery Act. Click here for a copy of this report.

CyberCoders

Data Scientist

New York, NY · On-site

Experience with statistical methods and analysis such as bias vs. variance tradeoffs, Bayesian Stats, probability distributions, regressions, etc. Coding experience in a production environment. You ...

CyberCoders

Data Scientist

New York, NY

Experience with statistical methods and analysis such as bias vs. variance tradeoffs, Bayesian Stats, probability distributions, regressions, etc. Coding experience in a production environment. You ...

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Postdoctoral In Bayesian Statistics information

What is a Postdoctoral position in Bayesian Statistics?

A Postdoctoral position in Bayesian Statistics is a research-focused role for individuals who have recently completed their PhD in statistics, mathematics, or a related field. These positions involve conducting advanced research using Bayesian methods, which apply probability to infer statistical conclusions. Postdocs often work on developing new Bayesian models, collaborating on interdisciplinary projects, and publishing research findings. Such positions are typically temporary and designed to further prepare researchers for academic, industry, or governmental roles.

What are some common challenges faced by postdoctoral researchers in Bayesian statistics, and how can they be addressed?

Postdoctoral researchers in Bayesian statistics often encounter challenges such as managing complex, high-dimensional data, staying current with rapidly evolving computational methods, and balancing independent research with collaborative projects. Effective strategies include leveraging open-source statistical software, actively participating in seminars and workshops to stay updated, and establishing regular communication with interdisciplinary teams. Building a strong professional network and seeking mentorship within the department can also help in navigating research obstacles and advancing one's career.

What is the difference between Postdoctoral In Bayesian Statistics vs Postdoctoral In Data Science?

AspectPostdoctoral In Bayesian StatisticsPostdoctoral In Data Science
Required CredentialsPhD in Statistics, Mathematics, or related fieldPhD in Computer Science, Statistics, or related field
Work EnvironmentAcademic research, university labsResearch institutions, tech companies, industry labs
Employer & Industry UsageUniversities, research institutesTech firms, finance, healthcare, consulting
Common Search & Comparison IntentSpecialized research roles in Bayesian methodsBroader data analysis and machine learning roles

Postdoctoral In Bayesian Statistics focuses on advanced research in Bayesian methods within academic settings, requiring deep statistical expertise. In contrast, Postdoctoral In Data Science covers a broader range of data analysis techniques, including machine learning, often in industry environments. Both roles require a PhD but differ in application focus and work environment.

What are the key skills and qualifications needed to thrive as a Postdoctoral Researcher in Bayesian Statistics, and why are they important?

To thrive as a Postdoctoral Researcher in Bayesian Statistics, you need an advanced degree (typically a PhD) in statistics or a related field, with strong expertise in Bayesian inference and probabilistic modeling. Proficiency with statistical programming languages such as R, Python, or Stan, and experience with specialized Bayesian analysis software are highly valued. Excellent problem-solving skills, collaboration, and the ability to communicate complex statistical concepts clearly are standout soft skills for this role. These skills and qualities are crucial for conducting rigorous research, publishing impactful results, and contributing effectively to scientific teams.
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Postdoctoral Researcher

Postdoctoral Researcher

Stevens Institute of Technology

Hoboken, NJ

$58K - $60K/yr

Full-time

Re-posted 23 days ago

Job description

Job Description

The postdoctoral researcher will work in the Physics Department and the Center for Quantum Science and Engineering, contributing to projects in quantum information theory and quantum optics, with a focus on fundamental science. The postdoc will work in the group of Professor Igor Pikovski and assist in theoretical research on testing gravitational phenomena in the quantum domain, with a particular focus on graviton detection.

Responsibilities

  • Assist in executing research activities that support the goals and deliverables of ongoing projects on the gravity-quantum interface.

  • Conduct theoretical research and document research results.

  • Support the supervision of students and research group activities.

Qualifications

  • PhD in quantum physics.

  • Strong publication record.

  • Expertise in quantum information theory, quantum optics theory or related fields.

Please combine all required documents in one pdf file. The required documents are:

Cover Letter CV Summary of research interests (no more than 3-4 pages), Names and e-mail contacts to 3 potential writers of recommendation letters

Relevant research areas can be found on www.pi-quantum.com. For questions, please reach out to pikovski@stevens.edu.

Department

Physics

Compensation Range

In compliance with the New Jersey Wage Transparency Act, the annual base range for this position is $58,000 - $60,000. This range represents the University's good faith estimate of possible compensation at the time of posting. Stevens Institute of Technology determines compensation based on factors including the position's scope and responsibilities, the candidate's experience, education, skills, internal equity, market data, and organizational considerations. The final salary will be set considering departmental budget, qualifications, and relevant credentials. This pay range represents base pay only and excludes additional forms of compensation, such as incentives, stipends, or other applicable pay components. For a full overview of our benefits offerings, please refer to the Stevens Institute of Technology Benefits Guidebook, available at:

Benefits Guidebook

General Submission Guidelines:

Please submit an online application to be considered a candidate for any job at Stevens. Please attach a cover letter and resume with each application. Other requirements for consideration may depend on the job.

Still Have Questions?

If you have any questions regarding your application, please contact Jobs@Stevens.edu.

EEO Statement:

Stevens Institute of Technology is an Equal Opportunity Employer. Accordingly, Stevens adheres to an employment policy that prohibits discriminatory practices or harassment against candidates or employees based on legally impermissible factor(s) including, but not necessarily limited to, race, color, religion, creed, sex, national origin, nationality, citizenship status, age, ancestry, marital or domestic partnership or civil union status, familial status, affectional or sexual orientation, gender identity or expression, atypical cellular or blood trait, genetic information, pregnancy or pregnancy-related medical conditions, disability, or any protected military or veteran status.

Stevens is building a diverse faculty, staff, and student body and strongly encourages applications from people of all backgrounds. Stevens is a federal contractor under the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and the Rehabilitation Act of 1973, as well as other federal statutes.Stevens seeks candidates who will contribute to a welcoming and inclusive environment for all students, faculty and staff.

Jeanne Clery Disclosure:

In accordance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act (Clery Act), the Department of Public Safety is required to publish an annual security report which includes statistics mandated by the Clery Act. Click here for a copy of this report.

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