19 Postdoctoral Fellowship at University of Texas at Austin, United States

The MMAR Lab is looking for a motivated scientist to join our newly formed group as a postdoctoral scholar. The position focuses on microbial ecology, ecosystem modeling, and ocean-estuarine dynamics. This project is part of a bigger collaboration with other faculty at UTMSI funded through the Texas Gulf Coast Research Center (https://marinescience.utexas.edu/research/texas-gulf-coast-research-center) and aims to develop a novel ecosystem model for an estuarine-ocean exchange region in the Gulf Coast.

The candidate will have strong computational experience, will work developing an ecosystem model, and will also have the opportunity to collaborate in other research projects led by the MMAR Lab. The candidate is highly encouraged to develop the ecosystem model towards their own research questions and interests and apply for their own funding if desirable.

The Signal and Information Sciences Lab (SISL) is seeking a motivated individual to support and potentially lead research and development tasks relating to data science, machine learning, and algorithmic development related to RF networks. This may include tasks such as predicting propagation loss, testing new algorithms for link prediction, running network simulators, and predicting movement of nodes participating in a network.

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.

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 Kowalski Lab at the University of Texas at Austin invites applications for a Postdoctoral Fellow position focused on developing advanced, AI-enabled methods for clinical decision support in precision oncology. The fellow will work at the intersection of computational innovation, translational science, and patient-centered care, contributing to pioneering efforts in integrating multi-modal data for individualized cancer therapy selection.

The lab leads multi-institutional projects combining clinical, molecular, proteomic, and other published data to build explainable and scalable decision-support systems. These systems are designed to bridge gaps in personalized treatment for patients with rare, resistant, or genomically un-targetable cancers.

The Postdoc employed in this position will conduct/lead applied as well as fundamental research in physics-informed Artificial Intelligence (AI) and Machine Learning (ML) methodologies enabling digital twin functionalities in microelectronics and advanced packaging. The Postdoc will be part of a larger team of engineers-scientists working on cutting edge advancements in heterogeneous integration. 

• Express, purify, and characterize full-length and deletion constructs of group II intron and other non-LTR retroelement reverse transcriptase and related proteins for structural analysis and biotechnological applications using Fast Protein Liquid Chromatography FPLC and other methods. Characterize wild-type and mutant proteins biochemically via enzymatic assays and determine conditions for obtaining diffraction quality crystals and/or for cryo-electron microscopy analysis of proteins and protein/nucleic acid complexes. Carry out biochemical and biophysical assays. 

• Obtain structures of reverse transcriptase and related enzymes and their nucleic acid-protein complexes by X-ray diffraction and/or cryo-EM structures.

• Write manuscripts and assist in the preparation of reports, abstracts, manuscripts and proposals. Make presentations at lab meetings. Attend lab meetings and other meetings. Order chemicals and supplies specific to current project.

• Provide instruction, assistance and mentoring to graduate students.

The Scalable Computational Intelligence (SCI) group is a team of researchers and engineers who develop and apply AI/ML techniques to solve challenging problems in science and engineering. The Research Associate will work in the SCI group to support researchers in leveraging modern AI/ML methods to accelerate scientific discovery and innovation in various domain areas. The ideal candidate will have a strong background in data analytics, AI/ML, and a demonstrated passion for applying emerging AI/ML methods across diverse science and engineering domains.

Climate change continues to increase the risk of climate hazards that impact people, communities, economies, and ecosystems worldwide. While cutting emissions and adapting to climate impacts remain the primary strategies to mitigate this risk, scientists are also investigating additional approaches to reduce global warming through solar climate intervention (SCI).  SCI limits the increase of global temperatures by reducing the amount of incoming solar insolation, or increasing outgoing radiation, by altering the properties of the Earth’s surface and atmosphere. However, the impacts of SCI on Earth system dynamics and hydroclimate extremes remain unclear. UTIG seeks a postdoctoral scholar who can advance ongoing work to identify and quantify the impacts and risks that stratospheric aerosol injection (SAI), one method of SCI, poses on the Earth system. Specifically, the postdoctoral scholar will analyze climate model simulations to quantify the impacts and risks of SAI on climate extremes such as droughts, wildfires, extreme precipitation, tropical cyclones and compound events.

The successful candidate would work primarily with Dr. Danielle Touma (danielletouma.com) but will have opportunities to collaborate with other researchers at UTIG (ig.utexas.edu), across the Jackson School of Geosciences (jsg.utexas.edu), and across the wider UT campus. The postdoctoral researcher will have access to UTIG computing clusters as well as computational resources provided by the Texas Advanced Computing Center (TACC).

The Postdoctoral Fellow will work collaboratively with investigators in the Heart Center to generate analyzable clinical data to better understand and improve the patient and family outcomes of those diagnosed with Congenital Heart Disease.

The Environmental Science Institute at UT Austin is seeking motivated and skilled individuals to support research on water science and paleoenvironments. The position involves conducting and supervising interdisciplinary scientific research related to geochemistry, water quality, paleoclimate, and urban hydrology. The successful candidate will contribute to advancing the group’s broader goals in understanding environmental change.

The Postdoctoral Researcher will contribute to a set of cutting-edge projects focused on understanding and projecting hydroclimate extremes, particularly multivariate and compound events, in the context of rapidly evolving anthropogenic aerosol emissions.

(18) Postdoctoral Fellowship Position

Postdoc Fellowship Position summary/title: Postdoctoral Fellow in Water Systems (ml)

Deadline : Open Until Filled

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• Conduct independent research experiments using a wide variety of techniques, such as biochemical assays and electrophoresis, growth of bacteria, preparation of plasmid DNA, cloning and mutagenesis of plasmid DNA, isolation of RNA and DNA from cells, PCR and RT-PCR, Southern and Northern blotting, and reporter assays, protein expression and purification, in vitro mutagenesis, and biochemical assays, Next-generation RNA sequencing, RNA-seq library construction, and data analysis.

• Provide instruction, assistance and mentoring to graduate students.

• Write manuscripts and assist in the preparation of reports, abstracts, manuscripts and proposals. Make presentations at lab meetings, attend lab meetings and other meetings. Order chemicals and supplies specific to current project.