CFA Postdoctoral Fellow - Center for Pandemic Decision Science ---- Hiring Department: Department ... Lead the development and analysis of mathematical models to support the early detection ...
CFA Postdoctoral Fellow - Center for Pandemic Decision Science ---- Hiring Department: Department ... Lead the development and analysis of mathematical models to support the early detection ...
Our mathematical modeling frameworks span mechanistic (e.g., dynamic gene regulatory networks) to deep learning (e.g., prediction of cellular epigenomes from DNA sequence). Situated at Cincinnati ...
Our mathematical modeling frameworks span mechanistic (e.g., dynamic gene regulatory networks) to deep learning (e.g., prediction of cellular epigenomes from DNA sequence). Situated at Cincinnati ...
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Postdoctoral Research Fellow - Nuclear dynamics in heart, muscle, and brain development and disea...
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$65K/yr
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Our mathematical modeling frameworks span mechanistic (e.g., dynamic gene regulatory networks) to deep learning (e.g., prediction of cellular epigenomes from DNA sequence). Situated at Cincinnati ...
Our mathematical modeling frameworks span mechanistic (e.g., dynamic gene regulatory networks) to deep learning (e.g., prediction of cellular epigenomes from DNA sequence). Situated at Cincinnati ...
Mathematical Modeling Postdoc information
What is the difference between Mathematical Modeling Postdoc vs Data Scientist?
| Aspect | Mathematical Modeling Postdoc | Data Scientist |
|---|---|---|
| Required Credentials | PhD in Mathematics, Applied Mathematics, or related field | Bachelor's or Master's in Data Science, Computer Science, or related field; PhD preferred |
| Work Environment | Academic research institutions, universities, research labs | Corporate, tech companies, startups, or consulting firms |
| Industry Usage | Research projects, academic publications, grant-funded studies | Business analytics, product development, data-driven decision making |
| Common Search & Comparison | Yes | Yes |
While both roles involve analytical skills and data handling, Mathematical Modeling Postdocs focus on academic research and developing theoretical models, whereas Data Scientists apply data analysis techniques to solve practical business problems. The choice depends on whether you prefer research-oriented work or industry applications.
What does a mathematical modeling postdoc do?
What are some common challenges faced by mathematical modeling postdocs when transitioning from academic research to collaborative industry projects?
What are the key skills and qualifications needed to thrive as a mathematical modeling postdoc?
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CFA Postdoctoral Fellow - Center for Pandemic Decision Science
Austin, TX • On-site
$70K/yr
Full-time
Re-posted 27 days ago
University Of Texas at Austin rating
8.2
Based on 63 frontline employees who took The Breakroom Quiz
139th of 616 rated colleges and universities
Job description
CFA Postdoctoral Fellow - Center for Pandemic Decision Science
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Hiring Department:
Department of Integrative Biology
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Position Open To:
All Applicants
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Weekly Scheduled Hours:
40
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FLSA Status:
Exempt
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Earliest Start Date:
Immediately
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Position Duration:
Expected to Continue Until Oct 02, 2026
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Location:
UT MAIN CAMPUS
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Job Details:
General Notes
This is a one-year position with opportunity for renewal based on funding and performance. The position will include a full-time benefits package.
Security sensitive; criminal background check conducted on selected candidates. Hiring decision is contingent upon applicant clearing background requirement.
Applicants will be accepted on a rolling basis and evaluated via an accelerated video interview and decision process.
Purpose
The Meyers Lab and epiENGAGE at The University of Texas at Austin are immediately seeking outstanding postdoctoral scholars to contribute to modeling the spread, surveillance, forecasting, and control of influenza and other infectious diseases. The research aims to elucidate epidemiological dynamics and provide robust insights and tools to support outbreak preparedness and response efforts across the United States.
The postdoctoral scholars will work under the primary supervision and mentorship of Professor Lauren Ancel Meyers.
We seek candidates with strong quantitative training in one or more of the following areas: (1) modeling of infectious disease dynamics, (2) statistics, machine learning, and AI, or (3) operations research and optimization. Preference will be given to candidates with knowledge of infectious disease epidemiology
Responsibilities
- Lead the development and analysis of mathematical models to support the early detection, forecasting, and mitigation of emerging infectious disease outbreaks, including seasonal and pandemic influenza
- Contribute to the development of outbreak modeling tools and training resources for public health professionals
- Disseminate this work through direct engagement with scientists and public health professionals, as well as peer-reviewed publications
Required Qualifications
Candidates must have completed a PhD within the last 3 years in a quantitative science, statistics, computer science, mathematics, engineering, or a related discipline. The position will also require the ability to work quickly on time-sensitive analyses and collaborate with an interdisciplinary team.
Preferred Qualifications
Several years of experience in designing, validating, and applying mathematical models of outbreak dynamics and control. Experience collaborating with communities and public health professionals.
Salary Range
$70,000 + depending on qualifications
Working Conditions
- Flexible work arrangement possible
- Occasional evenings and weekends required
- May work around standard office conditions
- Repetitive use of a keyboard at a workstation
Work Shift
- Flexible: 40 hours/week is required, and most of this time should be during normal business hours (e.g., 9:00am-5:00pm), although numbers of hours/day and days/week can be negotiated and may change depending on what projects are being pursued.
Required Materials
- Resume/CV
- Cover Letter
- Three (3) letters of reference
- PhD Verification (Examples of official documentation of the degree include: Copy of diploma (preferred) or official English translation of diploma, Copy of a letter of completion on letterhead from the office of the registrar or graduate office confirming completion of degree requirements, Copy of official transcript in English with "degree awarded" information.)
Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes.
Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.
Employment Eligibility:
Please make sure you meet all the required qualifications and you can perform all of the essential functions with or without a reasonable accommodation.
Retirement Plan Eligibility:
The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per week and at least 135 days in length.
Background Checks:
A criminal history background check will be required for finalist(s) under consideration for this position.
Equal Opportunity Employer:
The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.
Pay Transparency:
The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
Employment Eligibility Verification:
If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.
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E-Verify:
The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:
- E-Verify Poster (English and Spanish) [PDF]
- Right to Work Poster (English) [PDF]
- Right to Work Poster (Spanish) [PDF]
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Compliance:
Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031.
The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.
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