finished (2021/12/01, finished 2022/07/22)
*** this position has been closed and new applications are no longer accepted. ***The Department of Mathematics at the University of Utah invites applications for the following postdoctoral (non-faculty) positions: Applications are invited for up to three postdoctoral associates within the Department of Mathematics at the University of Utah to work with Professor Aaron Fogelson on problems concerning the physiology and pathology of blood clotting. One NIH-funded position is currently available, a second NIH-funded position is likely to be available, and a DARPA-funded position may be available. Whether funding is available for the latter two positions is expected to be known by early January 2022. Applicants will be considered for all three positions unless the applicant requests otherwise.
Postdoctoral Position 1: For the existing NIH-funded position, we are particularly seeking individuals who are interested in joining a multidisciplinary team to further develop and analyze mathematical models of bleeding and thrombosis with the goal of using the models to probe which natural physiological variations among people or among different tissues in a person's body modify the effectiveness of clinically-used anticoagulants (against thrombosis) and pro-hemostatic (against bleeding) agents.
This project involves close collaborations with mathematicians, bioengineers, and biochemists at the University of North Carolina Medical School, the University of Colorado Medical Center, the Colorado School of Mines, and the University of California, Merced.
These projects will build on the group's previous research as described in
Fogelson AL, Nelson AC, Zapata-Allegro, C, Keener JP. ‘Development of Fibrin Branch Structure Before and After Gelation’. SIAM Journal on Applied Mathematics, 2021, to appear.
Link KG, Stobb MT, Sorrells MG, Bortot M, Ruegg K, Manco-Johnson MJ, Di Paola JA, Sindi SS, Fogelson AL, Leiderman K, Neeves KB. ‘A mathematical model of coagulation under flow identifies factor V as a modifier of thrombin generation in hemophilia A.’ Journal of Thrombosis and Haemostasis. 18.2 (2020) 306-317.
Link KG, Sorrells MG, Danes NA, Neeves KB, Leiderman K, Fogelson AL. A Mathematical Model of Platelet Aggregation in an Extravascular Injury under Flow. Multiscale Modeling and Simulation 2020;18(4):1489-1524.
Leiderman K, Chang WC, Ovanesov M, Fogelson AL. ‘Synergy between tissue factor and exogenous factor XIa in initiating coagulation.’ Arteriosclerosis, thrombosis, and vascular biology 36.12 (2016) 2334-2345.
Fogelson, AL, Keener, JP. ‘Toward an understanding of fibrin branching structure.’ Physical Review E 81.5 (2010): 051922.
Kuharsky, AL, Fogelson, AL, "Surface-mediated control of blood coagulation: the role of binding site densities and platelet deposition." Biophysical Journal 80.3 (2001) 1050-1074.
A PhD in mathematics, chemical or biomedical engineering, systems biology, or a related field is required. Ideally, applicants will have extensive experience formulating models of physiological processes, analyzing the models’ behaviors including computationally (in Matlab, Python, or a compiled language such as C or Fortran), interpreting the results in biological terms, and communicating with applied mathematicians and other quantitative and life scientists.
Postdoctoral Position 2: For this pending NIH-funded position, we are particularly seeking individuals who are interested in joining a multidisciplinary team to further develop and analyze spatial-temporal models of thrombosis on bioprosthetic aortic valve replacements with the goal of understanding mechanisms of thrombus initiation and growth with the goal of informing better device choice and implantation strategy.
This project involves close collaborations with mathematicians, bioengineers, and clinicians at the University of North Carolina and the University of California, Irvine.
Research for this project will build on the group's previous research as described in
Barrett, A, Fogelson AL, Griffith BE, ‘A Hybrid Semi-Lagrangian Cut Cell Method for Advection-Diffusion Problems with Robin Boundary Conditions in Moving Domains’, Journal of Computational Physics, (2021) to appear.
Du J, Kim D, Alhawael G, Ku DN, Fogelson AL. ‘Clot Permeability, Agonist Transport, and Platelet Binding Kinetics in Arterial Thrombosis.’ Biophysical Journal. 19.10 (2020) 2102-2115.
Du J, Fogelson AL. ‘A Two-phase mixture model of platelet aggregation.’ Mathematical Medicine and Biology 35.2 (2018) 225-256.
Leiderman K, Fogelson AL. ‘Grow with the flow: a spatial-temporal model of platelet deposition and blood coagulation under flow’. Mathematical Medicine and Biology. 28.1 (2011) 47-84.
Barrett, A, Fogelson AL, Griffith BE, ‘A Hybrid Semi-Lagrangian Cut Cell Method for Advection-Diffusion Problems with Robin Boundary Conditions in Moving Domains’, Journal of Computational Physics, (2021) to appear.
A PhD in mathematics, computer science, biomedical engineering, or a related field is required. Ideally, applicants will have extensive experience with scientific computing using compiled software languages (C, C++, Fortran). Experience in formulating models of physiological processes and analyzing their behavior (including computationally using a compiled language such as C or Fortran), interpreting results in biological terms, and communicating with applied mathematicians and other quantitative and life scientists would be a great asset.
Postdoctoral Position 3: For this pending DARPA-funded position, we are particularly seeking individuals who are interested in joining a multidisciplinary team to further develop and analyze mathematical models of platelet deposition and coagulation and to use these to aid in the design of synthetic platelet nanoparticles.
This project involves tight collaboration with mathematicians and bioengineers at the Colorado School of Mines and Case Western Reserve University and is part of a large consortium effort involving multiple universities and several companies.
Research for this project will build on the group's previous research as described in
Link KG, Stobb MT, Sorrells MG, Bortot M, Ruegg K, Manco-Johnson MJ, Di Paola JA, Sindi SS, Fogelson AL, Leiderman K, Neeves KB. ‘A mathematical model of coagulation under flow identifies factor V as a modifier of thrombin generation in hemophilia A.’ Journal of Thrombosis and Haemostasis. 18.2 (2020) 306-317.
Link KG, Sorrells MG, Danes NA, Neeves KB, Leiderman K, Fogelson AL. A Mathematical Model of Platelet Aggregation in an Extravascular Injury under Flow. Multiscale Modeling and Simulation 2020;18(4):1489-1524.
Link KG, Stobb MT, Di Paola J, Neeves KB, Fogelson AL, Sindi SS, Leiderman K. A local and global sensitivity analysis of a mathematical model of coagulation and platelet deposition under flow. PLoS One. 13(7) (2018) e0200917.
A PhD in mathematics, chemical or biomedical engineering, systems biology, or a related field is required. Ideally, applicants will have extensive experience formulating models of physiological processes, analyzing the models’ behaviors including computationally (in Matlab, Python, or a compiled language such as C or Fortran), carrying out model sensitivity analyses, interpreting the results in biological terms, and communicating with applied mathematicians and other quantitative and life scientists.
Term of Appointment Each appointment is for an initial term of one year, with renewal possible depending on adequate progress and on continued availability of funding. Subject to these caveats, the positions are intended to be for 3-4 years. The start date for Position 1 can be as early as January 2022 and no later than August 2022. The start date for Position 2 is August 2022. The start date for Position 3 is as soon as March 2022.
How to Apply Applicants should post the
following at https://www.mathjobs.org/jobs/UofUtah. (1) a vita, (2) a brief statement of research interests and experience, and (3) letters of reference.
For further information about these positions or to indicate your interest in them, please contact Professor Aaron Fogelson, fogelson@math.utah.edu The Carnegie Foundation has placed the University of Utah in their “highest research activity” category, and the University of Utah is the flagship institution of the Utah System of Higher Education. The University is located in Salt Lake City at the foot of the spectacular Wasatch Mountains. This location offers unparalleled opportunities for outdoor recreation, with nine world-class ski resorts within an hour of Salt Lake City, and five national parks only a few hours away. Salt Lake City is the center of the Wasatch Front metropolitan area, with a population of approximately 2.6 million residents, has extensive arts and cultural activities, and has a major, newly renovated international airport, which serves as a principal Delta Airlines hub with direct flights to most U.S. cities, many cities in Canada and Mexico, as well as Paris, London, and Amsterdam. The area has received international recognition for its new light rail system, foodie culture, downtown renewal, increasing diversity, and welcoming culture. In 2017, U.S News and World report ranked Salt Lake City as the 10th best place to live in the nation.
The University of Utah is an Affirmative Action/Equal Opportunity employer and educator, and does not discriminate based upon race, national origin, color, religion, sex, age, sexual orientation, gender identity/expression, status as a person with a disability, genetic information, or Protected Veteran status. Individuals from historically underrepresented groups, such as minorities, women, qualified persons with disabilities and protected veterans are encouraged to apply. Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities. To inquire about the University’s nondiscrimination or affirmative action policies or to request disability accommodation, please contact: Director, Office of Equal Opportunity and Affirmative Action, 201 S. Presidents Circle, Rm 135, (801) 581-8365. For additional information about the University’s commitment to equal opportunity and access see: http://www.utah.edu/nondiscrimination/.
The University of Utah values candidates who have experience working in settings with students from diverse backgrounds, and possess a strong commitment to improving access to higher education for historically underrepresented students.
The University of Utah is an Affirmative Action/Equal Opportunity employer and does not discriminate based upon race, national origin, color, religion, sex, age, sexual orientation, gender identity/expression, status as a person with a disability, genetic information, or Protected Veteran status. Individuals from historically underrepresented groups, such as minorities, women, qualified persons with disabilities and protected veterans are encouraged to apply. Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities. To inquire about the University’s nondiscrimination or affirmative action policies or to request disability accommodation, please contact: Director, Office of Equal Opportunity and Affirmative Action, 201 S. Presidents Circle, Rm 135, (801) 581-8365. Additional information can be found at http://www.utah.edu/nondiscrimination/. |
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