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Creation date"Creation date" is a predefined property that corresponds to the date of the first revision of a subject and is provided by <a target="_blank" rel="nofollow noreferrer noopener" class="external text" href="https://www.semantic-mediawiki.org/wiki/Help:Special_properties">Semantic MediaWiki</a>.
18:26:12, 16 February 2026 +
Has query"Has query" is a predefined property that represents meta information (in form of a <a target="_blank" rel="nofollow noreferrer noopener" class="external text" href="https://www.semantic-mediawiki.org/wiki/Subobject">subobject</a>) about individual queries and is provided by <a target="_blank" rel="nofollow noreferrer noopener" class="external text" href="https://www.semantic-mediawiki.org/wiki/Help:Special_properties">Semantic MediaWiki</a>.
April 10, 2026 +
'''Graduate Research Assistant Position at … '''Graduate Research Assistant Position at Clemson University'''</br></br></br>'''Position Overview:''' In collaboration with Savannah River National Lab (SRNL, DOE), we are seeking a highly motivated MS student (must be a U.S. citizen) to join an interdisciplinary research project focused on modern deep learning applications for water quantity and quality modeling across the Savannah River Basin. The student will gain hands-on experience in environmental data science, informatics, and AI, contributing to predictive models that support risk assessment and emergency decision-making at SRNL. Depending on the candidate’s background, he/she may be admitted to Clemson University’s Agricultural Systems Management graduate program or the Computer Science graduate program.</br></br>The selected candidate will conduct research at Clemson University and SRNL and will have a potential opportunity for SRNL employment, gaining valuable exposure to national laboratory research and operations.</br></br>'''Responsibilities'''</br>* Develop and implement physics-informed deep learning architectures for water quantity and quality modeling, including uncertainty assessment. </br>* Collect, preprocess, and analyze hydrologic and water quality data from SRNL, USGS, and other IoT-enabled sources. </br>* Benchmark physics-informed deep learning models against existing SRNL hydrologic models. </br>* Participate in weekly research meetings, present findings at conferences, and co-author manuscripts. </br>* Collaborate with Clemson University and SRNL researchers on data-driven water resources projects.</br></br>'''Qualifications'''</br>* Must be a U.S. citizen (necessary for conducting research at SRNL).</br>* Bachelor’s degree in civil/water resources engineering, Environmental Engineering, Computer Science, or related field.</br>* Strong programming skills in Python and C++ and familiarity with deep learning frameworks (TensorFlow, PyTorch).</br>* Interest in water and environmental modeling, and AI applications.</br>* Ability to work collaboratively in a multidisciplinary team.</br>* Strong analytical, problem-solving, and communication skills.</br></br>'''Application Instructions'''<br></br>Submit a single PDF containing all materials to hydroinformatics@clemson.edu. A minimum GPA of 3.4 (on a 4.0 scale) and GRE scores are mandatory.</br></br>'''Include:'''<br></br>* Contact information and personal details</br>* Highest degree earned</br>* Language proficiency</br>* GPA and GRE scores</br>* Contact details for 2–3 references</br>* Cover letter detailing research background, motivation, expected benefits, and career goals</br>* Curriculum vitae outlining degrees, coursework, work experience, and projects</br>* Unofficial transcript</br></br>'''Deadline:''' Applications are due by April 10, 2026, 5:00 PM EDT. Position will remain open until it is filled. PM EDT. Position will remain open until it is filled.
Graduate Research Assistant +
Clemson University +
Last editor is"Last editor is" is a predefined property that contains the page name of the user who created the last revision and is provided by <a target="_blank" rel="nofollow noreferrer noopener" class="external text" href="https://www.semantic-mediawiki.org/wiki/Help:Special_properties">Semantic MediaWiki</a>.
United States +
Modification date"Modification date" is a predefined property that corresponds to the date of the last modification of a subject and is provided by <a target="_blank" rel="nofollow noreferrer noopener" class="external text" href="https://www.semantic-mediawiki.org/wiki/Help:Special_properties">Semantic MediaWiki</a>.
18:26:12, 16 February 2026 +
South Carolina +
