15 Postdoctoral Fellowship at University of Maryland, United States
Are you a PhD graduate eager to take the next leap in your academic journey? Look no further! University of Maryland, United States invites online applications for prestigious Postdoctoral Fellowships across a wide range of research fields. Don’t miss out on this opportunity to propel your career forward.
Candidates interested in Postdoctoral Fellowships can check the details and may apply as soon as possible.
(01) Postdoctoral Fellowship Position
Postdoc summary/title:– Postdoctoral Associate
a. Design and development of an evaporating cooling module for cooling of high-powered micro- and power electronics. A test rig and environmental chamber will be designed for benchtop testing to be integrated with sensors and DAQ. Two-phase evaporation simulations using VOF and UDFs in ANSYS-Fluent are also required.
b. Fundamental studies of boiling heat transfer that includes fabrication of novel boiling enhancement surfaces to enhance critical heat flux and heat transfer coefficient and development of an immersion cooling test rig.
2. Development of novel metal/organic hybrid phase change material (PCM) for energy storage and electronics transient thermal loading.
a. Study of a novel phase change materials which includes synthesis of the materials, conducting different thermophysical property measurements using DSC, thermal conductivity measurement apparatus etc, developing an experimental test rig to study the thermal performance of the phase change material. Thermal simulations to study the transient thermal performance of the materials is required.
3. Neural network ML modeling to predict the RF device performance and failure mechanisms.
a. This project involves physics informed neural network modeling of the electrothermal response of GaN RF devices. A combination of experimental data and hybrid data/modeling approaches will be used to tain the neural network for performance prediction of RF GaN HEMT devices. PINN modeling required use of the NVIDIA SimNet toolkit to solve for electrical and thermal transport.
Autonomous Unmanned Systems: aerial robotics, robot motion planning, digital twin development, robot navigation of complex terrain, and simulation-based verification for autonomous systems; field robotics;
Cognitive Robotics: explainable artificial intelligence, perception-based interaction, and metareasoning to improve team performance;
Human-Robot Interaction: Human-robot collaboration, human behavior modeling, human-robot communication, learning and cognition, planning and re-planning, management of trust and its effects on collaboration, and forensics for human-machine teaming.
The Planetary Surfaces and Spacecraft Lab at the University of Maryland, College Park is hiring multiple postdoctoral researchers. We are looking for experimentalists with experience working with vacuum systems, plasma physics, and/or granular materials and an interest in developing technology to remove lunar regolith from spacesuits and solar panels. The goal of this project is to demonstrate the functionality of a specialized lunar “lint roller” that uses synthetic gecko skin to remove dust, rather than a traditional adhesive. Additionally, we will be developing a cleaning appliance to make the gecko roller reusable. One investigator will build and operationalize a new UHV chamber system and test the gecko roller at lunar-relevant pressures. Other investigators will design, build and test the efficacy of the cleaning appliance. The postdoctoral investigators will work with Dr. Christine Hartzell and other team members (postdocs, grad students, and undergrad students) to mature this technology, and present research results (via conferences and journal publications) to the wider planetary science and exploration community.
The appointment will be in the Department of Aerospace Engineering, full-time, for at least one year, renewable for a second year upon satisfactory performance. Remuneration will be competitive and based on qualifications.
The Center for Health Information and Decision Systems (CHIDS), an academic research center in the Robert H. Smith School of Business, University of Maryland at College Park invites applications for a postdoctoral associate position starting in the Spring 2022 semester and continuing for up to two years. Ideal scholars are those working on health services, healthcare analytics, health IT, and health equity. We especially welcome candidates with strong data skills. The postdoctoral associate will join an active research community, have ample opportunities to connect with new collaborators and mentors, and present and obtain feedback on their own research. Especially, the postdoc will have access to multiple industry partners with EHR, claims, and mobile health data, as well as the AIM–AHEAD network resources including large datasets and computing infrastructure.
The postdoctoral researcher will have a key role in an ongoing project to model ridership across the Washington Metropolitan Area Transit Authority (WMATA) railway system (i.e., D.C., Maryland, & Virginia) using survey data, smart card trip data, and an array of factors related to travel, transit ridership, land use, the built environment, urban form, and transport infrastructure. A key task will be to develop an enhance ridership model using new data sources and through the application of geospatial analytical techniques and machine learning. A primary task of the post-doctoral researcher will be to lead model development and enhancement efforts within the UMDNCSG–CGIS team. The goal of this project is to construct models capable of capturing how ridership trends have evolved over time as the transit system has expanded. At the same time, new built environment and ridership-related variables have become available as well as new machine learning-based approaches for modeling space-time trends. As a result, the postdoctoral researcher will assist with: (1) collect and manage a database of diverse variables; (2) create new variables based on the transportation network, points-of-interest, and neighborhood characteristics; (3) construct ridership models using regression techniques, geospatial analytical techniques, and machine learning techniques; (4) employ these ridership models to understand the factors responsible for generating ridership across different types of stations and forecasting future scenarios; and (5) draft progress reports & scholarly manuscripts for publication. The postdoctoral researcher will work closely with the project team and partner organizations on model integration, scenario development and analysis, and testing. The project will provide a unique opportunity to work in a truly multi-disciplinary and multi-organizational team composed of transportation and urban planning researchers, geospatial information scientists, local planners, and technologists.
The initial duration of this appointment is for a one year term with the potential for extension based on performance and availability of funding. This position is eligible to work remotely.
The focus of these positions will be electrochemical modeling of high-energy cells. A particular emphasis will be on high-rate charging of this cell, at several temperatures. The successful applicant will develop detailed physics- and chemistry-based transient mathematical models for cell charge and discharge, based on the coupled thermodynamic, kinetic, and transport processes taking place in the cell.
In addition, the successful applicant may contribute to the design of experiments for parameterization of material-level (e.g., electrolyte transport properties) and cell-level (e.g., separating electrode- and particle-scale) processes. Methods such as EIS, GITT, pulsing, and others may be used.
The position will be in the Albertus research group in the Department of Chemical and Biomolecular Engineering at the University of Maryland. Professor Albertus has extensive experience developing electrochemical models and simulating battery performance. Relevant publications are available at his Google Scholar page.
Proficient in conducting and troubleshooting machine learning analysis using large image or numerical datasets for disease identification and prediction via software such as Python and R. Also, background in field design and statistical data analysis in the context of agriculture and applied plant pathology.
Postdoc summary/title:– Postdoctoral Associate/Assistant Research Professor
The GEDI mission focuses on biomass estimation, biodiversity, habitat characterization, forest complexity, and prognostic ecosystem models, and is slated to resume operations in late 2024 for a minimum of three years. An important aspect of our current initiatives focuses on the integration of GEDI data with other Earth Observation (EO) data such as from passive optical/stereo and Synthetic Aperture Radar (SAR) technologies. The latter includes data from TanDEM-X, ALOS-2 and Sentinel-1 as well as the forthcoming NISAR and BIOMASS missions. Successful candidates will participate in diverse aspects of GEDI-related science analyses and projects. This participation includes refining and validating science algorithms, post-flight calibration and validation, developing field observation databases, science data product development and the fusion of multi-sensor data. There is also the opportunity to utilize these remote sensing data in science investigations within the candidate’s areas of interest.
Our NASACMS projects are focused on combining GEDI and interferometric SAR (InSAR) data to map high-resolution biomass and its changes, in collaboration with partner institutions including the German Aerospace Center (DLR), alongside activities utilizing these data to drive ecosystem and diversity models. Our mature and old-growth forest work is in partnership with the U.S. Forest Service, NASA Goddard Space Flight Center (GSFC), and Harvard Forest. This research is developing methodologies for the assessment and monitoring of mature and old-growth forests using a comprehensive range of EO data, modeling, and in situ national forest inventory data. These projects have significant engagement with stakeholders at the local, national, and international levels.
A Post-Doctoral Associate position is available in the Liu lab at the Institute for Bioscience and Biotechnology Research (IBBR) of the University of Maryland College Park in Rockville, MD. The research project focuses on the molecular understanding of chaperone-mediated protein folding and translocation using cryo-EM, biochemistry, and computational modeling.
The postdoc will carry out daily research tasks in the lab, including maintaining cell culture, protein expression, and purification, running biochemical/biophysical assays, protein structure determination with cryoEM, training undergraduate and graduate students, and writing research proposals and publications.
● Autonomous Unmanned Systems: aerial robotics, robot motion planning, digital twin development, robot navigation of complex terrain, and simulation-based verification for autonomous systems; field robotics;
● Cognitive Robotics: explainable artificial intelligence, perception-based interaction, and meta-reasoning to improve team performance;
●Human-Robot Interaction: Human-robot collaboration, human behavior modeling, human-robot communication, learning and cognition, planning and re-planning, management of trust and its effects on collaboration, and forensics for human-machine teaming.
The postdoctoral researcher will have the opportunity to conduct research and scholarship to (1) design tech tools that allow communities to identify and overcome access barriers in their transportation and food systems; (2) identify the processes that allow communities to conduct data-mediated conversations with key stakeholders to improve the quality of the transportation and food systems in their communities, and (3) evaluate the effect of the use of tech tools in improving access to and quality of transportation and food systems in their communities, while controlling for potential societal harms. The postdoctoral researcher will also be able to co-mentor graduate and undergraduate students working in the NSF-funded research.
The salary is $80K per year, plus competitive benefits. The duration is one year with the possibility to extend to a second year.
The postdoctoral researcher will be located at the University of Maryland, a top public research university located outside Washington, D.C., in College Park, Maryland. The researcher will be able to interact with other postdocs at the Values-Centered AI Initiative (VCAI), Community Research, Equity, and Design Lab (CReED), and the Human-Computer Interaction Lab (HCIL). An important requirement of this position is that the postdoctoral student should be willing and able to visit communities in and around Baltimore City and Prince George’s County to carry out focus groups, interviews and meetings that will inform research.
A Postdoctoral Associate position is available in the Tiwari Lab at the University of Maryland, College Park to work on wheat breeding and genetics. The position will focus on developing improved cultivars of wheat by deploying novel genes and alleles by combining genomics and high-throughput phenotyping tools. The incumbent will get opportunities to work in a collaborative environment with molecular biologists, data scientists, and plant pathologists in the department and beyond. Applicants must have a Ph.D. in, plant breeding, genetics, genomics, molecular biology, or a closely related field at the time of hiring. The applicants who have a strong background in wheat breeding and genetics and skills in plant molecular biology, and genomics analyses are highly desired.
The Finance Department at the University of Maryland’s Smith School of Business offers a two‐year postdoctoral fellowship for recent graduates with a Ph.D. in Finance, Economics, or other Social Science disciplines with research interests in public policy.
Post-doctoral researchers will collaborate with faculty members affiliated with the center to work on research projects with Finance Area Professors Vojislav Maksimovic and Liu Yang and DOIT Professor Kislaya Prasad. The focus of the research will be financing and business dynamism in the U.S., analyzing both small and entrepreneurial businesses and large incumbent firms. The postdoc will also help faculty produce white papers related to U.S. business dynamism issued by the Center for Global Business. The principal duties include collecting data, maintaining databases, conducting statistical analysis, and providing other research support.
The Department of Teaching and Learning, Policy and Leadership(TLPL) is one of three departments within the College of Education at UMD. TLPL programs encourage thoughtful and responsive explorations of education practices, practices, and related social issues. The Department includes three divisions: Science, Technology, and Mathematics Education (STME); Educational Policy and Leadership (EPL), and Language Literacy, and Social Inquiry (LLSI).
The Center for Mathematics Education (CfME), housed in TLPL, is a nationally prominent center for research and teaching addressing the improvement of mathematics education in K-16 and informal settings. The Center’s tenure- and professional-track faculty promote innovation in teacher preparation programs and focused outreach efforts to local school districts. CfME faculty are committed to furthering increased access and opportunities for historically marginalized populations in mathematics education. CfME currently leads professional partnerships with local school districts including the Middle School Mathematics Outreach and CITE programs with Montgomery County Public Schools (MCPS) and Terrapin Teachers with both MCPS and Prince George’s County Public Schools (PGCPS).
The successful Fellow will be appointed for a one-year 12-month term beginning July 1, 2025, with the expectation of renewal for a second one-year term contingent on review. The Fellow will receive a starting stipend of $67,000, health benefits, and $10,000 for research startup. In addition, the Fellow will have access to office space with computer, library access, and other privileges at the University. During the term of appointment, the Fellow will be expected to focus primarily on research. In addition, the Fellow will teach one course (one semester only) per year. Dr. Andrew Brantlinger will serve as the Fellow’s primary mentor with support from other CfME and TLPL faculty. These faculty will meet with the Fellow regularly to provide guidance on developing a pedagogically sound teaching philosophy and plan, and improving the skills needed to pursue an academic research career, including proposal and manuscript writing, and technical presentation skills. The Fellow will also participate in professional development opportunities developed by the College of Education and the university’s Office of Postdoctoral Affairs and the Office of Faculty Affairs.
A Postdoctoral position is available in the Institute of Bioscience and Biotechnology Research at University of Maryland College Park to study the role of plant mobile mRNAs in the induction of graft induced pathogen resistance. This multi-year position is within Dr. James Culver’s laboratory and will investigate rootstock and scion molecular signals that contribute to defense induction and developmental phenotypes https://doi.org/10.1111/mpp.13353. It is anticipated that results from this study will have broad implications toward understanding desirable graft induced traits as well as developing strategies to engineer theses induced phenotypes into new economically important crop systems.
The University of Maryland, College Park (University of Maryland, UMD, or simply Maryland) is a public land-grant research university in College Park, Maryland. Founded in 1856, UMD is the flagship institution of the University System of Maryland. It is also the largest university in both the state and the Washington metropolitan area, with more than 41,000 students representing all fifty states and 123 countries, and a global alumni network of over 360,000. Its twelve schools and colleges together offer over 200 degree-granting programs, including 92 undergraduate majors, 107 master’s programs, and 83 doctoral programs. UMD is a member of the Association of American Universities and competes in intercollegiate athletics as a member of the Big Ten Conference.
The University of Maryland’s proximity to the nation’s capital has resulted in many research partnerships with the federal government; faculty receive research funding and institutional support from agencies such as the National Institutes of Health, the National Aeronautics and Space Administration (NASA), the National Institute of Standards and Technology, the Food and Drug Administration, and the Department of Homeland Security. It is classified among “R1: Doctoral Universities – Very high research activity” and is labeled a “Public Ivy”, denoting a quality of education comparable to the private Ivy League. UMD is ranked among the top 100 universities both nationally and globally by several indices.
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