1

Ai For Science Jobs in Ohio (NOW HIRING)

Redcare Pharmacy is seeking a Product Director for Conversational AI to lead the product strategy ... data science. Join us in shaping a collaborative work environment dedicated to healthcare ...

Do you have a background in data science and/or computer science with experience working with AI tools for interactive AI applications across various IT systems? If so, we have an exciting ...

Health IT Data Scientist

Continental, OH · On-site

$110K - $120K/yr

Stay current with emerging data science technologies and best practices. Minimum Qualifications ... Candidates may use tools (including AI) for proofreading or formatting; however, using any tool to ...

Do you have a background in data science and/or computer science with experience working with AI tools for interactive AI applications across various IT systems? If so, we have an exciting ...

next page

Showing results 1-20

Ai For Science information

How does collaboration typically work between AI for Science professionals and domain experts in research teams?

AI for Science professionals frequently work closely with experts in fields such as biology, chemistry, or physics to identify scientific problems that can benefit from machine learning techniques. Collaboration usually involves regular meetings to translate complex scientific challenges into data-driven models, sharing domain knowledge, and iteratively refining solutions. Effective communication and a willingness to bridge gaps between computational and scientific perspectives are essential. This interdisciplinary teamwork not only enhances the impact of AI solutions but also fosters ongoing learning and innovation.

What is AI for Science?

AI for Science refers to the application of artificial intelligence and machine learning techniques to accelerate scientific discovery and research. By leveraging large datasets, complex models, and advanced computational methods, AI helps scientists analyze data, identify patterns, simulate experiments, and make predictions across various scientific fields such as biology, chemistry, physics, and climate science. This approach can significantly speed up research, uncover new insights, and solve problems that were previously too complex or time-consuming for traditional methods.

Which AI for science is best?

The best AI tools for science depend on the specific application, such as data analysis, modeling, or simulation. Popular options include TensorFlow, PyTorch, and specialized platforms like DeepMind or IBM Watson, which are used by researchers to develop and deploy AI models in scientific research. Proficiency in programming languages like Python and understanding of machine learning concepts are essential for roles in AI for science.

What are the key skills and qualifications needed to thrive as an AI for Science specialist, and why are they important?

To thrive as an AI for Science Specialist, you need a strong background in computer science, mathematics, and scientific domains, often supported by advanced degrees (e.g., PhD or MSc) in relevant fields. Proficiency with machine learning frameworks (such as TensorFlow or PyTorch), scientific computing tools, and familiarity with high-performance computing environments are typically required. Critical thinking, interdisciplinary collaboration, and effective communication are crucial soft skills for translating scientific problems into AI solutions. These skills are vital for developing innovative models, ensuring research rigor, and enabling impactful scientific discoveries.

What is the difference between Ai For Science vs Data Scientist?

AspectAi For ScienceData Scientist
Required CredentialsDegree in Science, Computer Science, or related fields; knowledge of AI and machine learningDegree in Statistics, Computer Science, or related fields; strong programming skills
Work EnvironmentResearch labs, scientific institutions, tech companies focused on scientific applicationsCorporate, tech firms, finance, healthcare, and other industries analyzing data
Industry UsageApplied to scientific research, simulations, and experimental data analysisUsed for data analysis, predictive modeling, and business insights

Ai For Science focuses on applying AI techniques to scientific research and experiments, often requiring a background in science and specialized knowledge of AI. Data Scientists analyze large datasets across various industries to extract insights and build models. While both roles involve AI and data analysis, Ai For Science is more research-oriented within scientific contexts, whereas Data Scientists work across diverse sectors on data-driven decision making.

What are popular job titles related to Ai For Science jobs in Ohio? For Ai For Science jobs in Ohio, the most frequently searched job titles are:
What cities in Ohio are hiring for Ai For Science jobs? Cities in Ohio with the most Ai For Science job openings:
Infographic showing various Ai For Science job openings in Ohio as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 72% Full Time, 23% Part Time, and 3% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution.

Post Doctoral Scholar in AI for Geophysics/Geoscience

Ohio State University

Columbus, OH

Full-time

Posted yesterday

New


Job description

Screen reader users may encounter difficulty with this site. For assistance with applying, please contact hr-accessibleapplication@osu.edu. If you have questions while submitting an application, please review these frequently asked questions.

Current Employees and Students:

If you are currently employed or enrolled as a student at The Ohio State University, please log in to Workday to use the internal application process.

Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete the following:

  • Ensure you have all necessary documents available when starting the application process. You can review the additional job description section on postings for documents that may be required.

  • Prior to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application.

Job Title:Post Doctoral Scholar in AI for Geophysics/GeoscienceDepartment:Arts and Sciences | Earth Sciences

The AI4E Lab led by Dr. Hongyu Sun at the School of Earth Sciences and the BuckAI Observatory at The Ohio State University invites applications for a Post Doctoral Scholar in AI for Geophysics/Geoscience position. This position is supported through the NSF Collaborations in Artificial Intelligence and Geosciences Program. The position is based in Columbus, Ohio. More information about the lab is available at https://sun-hongyu.github.io/. We welcome applicants from diverse disciplinary backgrounds, including geophysics, seismology, data science, artificial intelligence, applied mathematics, physics, and related fields. Candidates with strong methodological expertise and an interest in applying AI to Earth science problems are especially encouraged to apply.

The successful candidate will contribute to the development of next-generation AI methods for geophysical imaging and monitoring, advancing both fundamental Earth science and engineering applications. Research activities may involve geophysical forward modeling, AI-driven geophysical inversion, seismic monitoring and imaging, scientific machine learning, depending on the specific research focus. The Post Doctoral Scholar is expected to take a leading role in specific research projects or components and contribute to the development of new research approaches and methodologies.

The Post Doctoral Scholar will conduct both independent and collaborative research in partnership with the Principal Investigator (PI) and research team. The role includes preparing manuscripts for submission to peer-reviewed journals, presenting findings at conferences and workshops, and contributing to dissemination of research results. Additional responsibilities include developing and maintaining open-source research software, collaborating with internal and external research partners, and supporting the broader research mission of the group. The Post Doctoral Scholar will also mentor undergraduate and graduate students, provide guidance on research techniques and best practices, and contribute to a collaborative and productive research environment.

The initial appointment is for one year and is renewable annually based on satisfactory performance and the availability of funding.

Application Instructions:

Applications should include:

  • A curriculum vitae
  • A cover letter (maximum two pages) describing your research accomplishments, future research interests, and how your background and expertise make you a strong fit for this position.
  • Letters of Recommendation: Candidates selected for interviews will be asked to arrange for at least two letters of recommendation.

Review of applications will begin immediately and will continue until the position is filled. The successful candidate is expected to start as soon as possible, although the exact start date is negotiable. Please use the submission portal to submit materials. Feel free to reach out to Dr. Hongyu Sun at sun.4379@osu.edu if you have questions. Please use the following subject line format when reaching out: Postdoc Application-Name-PhD Graduation Year-PhD Institution.

Minimum Education Required

Doctorate degree (completed by the start date) in Geophysics, Seismology, Earth Sciences, Data Science, Applied Mathematics, Artificial Intelligence or equivalent experience.

Required Qualifications

  • Strong written and verbal communication skills
  • Strong programming skills (Python and/or related scientific computing languages)
  • Ability to work both independently and collaboratively within a research team
  • Record of peer-reviewed publications or manuscripts in preparation

Preferred Qualifications

  • Experience with machine learning and deep learning
  • Ability to analyze and interpret complex geophysical data and apply appropriate research methodologies
Additional Information:

The College of Arts and Sciences is the largest college and the academic heart of the university. The College hosts 81 majors. With 38 departments, 20+ world-class research centers, and more than 2,000 faculty and staff members, students have the unique opportunity to study with the best artists, scholars, and scientists in their field.

BuckAI Observatoryis a Center of Excellence in applied artificial intelligence (AI) for Earth and planetary observation at The Ohio State University. Housed in the College of Arts and Sciences, the Observatory integrates cutting-edge AI methods with remote sensing science to accelerate discovery across disciplines-from geodesy, Earth sciences, and agriculture to the arts and public policy. It provides shared cyberinfrastructure, expert data engineering support, and workforce development programs that lower barriers to AI adoption. Through interdisciplinary collaboration, curriculum development, and public-private partnerships, BuckAI positions OSU as a national leader in AI-driven environmental research and education.

Location:Mendenhall Laboratory (0054)Position Type:Term (Fixed Term)Scheduled Hours:40Shift:First Shift

Final candidates are subject to successful completion of a background check. A drug screen or physical may be required during the post offer process.

Thank you for your interest in positions at The Ohio State University and Wexner Medical Center. Once you have applied, the most updated information on the status of your application can be found by visiting the Candidate Home section of this site. Please view your submitted applications by logging in and reviewing your status. For answers to additional questions please review the frequently asked questions.

The university is an equal opportunity employer, including veterans and disability.