Texas A&M University Postdoctoral Research Associate in College Station, Texas
Postdoctoral Research Associate
Texas A&M University
Vice Pres For Research
Proposed Minimum Salary
College Station, Texas
Texas A&M University is committed to enriching the learning and working environment for all visitors, students, faculty, and staff by promoting a culture that embraces inclusion, diversity, equity, and accountability. Diverse perspectives, talents, and identities are vital to accomplishing our mission (https://www.tamu.edu/statements/mission.html) and living our core values (https://www.tamu.edu/about/coreValues.html) .
Who We Are
The Texas A&M Institute of Data Science (TAMIDS) pursues new approaches to data science research, education, operations, and partnerships. These approaches cross college boundaries to connect elements of Data Science from engineering, technology, science and the humanities, and inform wider social challenges. In partnership with over 200 research affiliates from across the Texas A&M University System, work being done by TAMIDS is shaping the future of Data Science research. To learn more, visit https://tamids.tamu.edu.
What We Want
TAMIDS is seeking a Postdoctoral Research Associate who will support the research activities and pilot projects carried out by members of the Scientific Machine Learning (SciML) Lab; help with the organization of community building activities; and assist with the day-to-day operation of the Lab. We seek to hire a candidate who will support the University’s commitment to Inclusion, Diversity, Equity and Accountability (IDEA). The preferred candidate will have a PhD in Science, Engineering, Statistics, Mathematics, or similar discipline related to Machine Learning and Scientific Computation and have a strong academic background in foundational disciplines related to Science and Engineering. We seek to hire a team player who will promote collaboration and cooperation while working within a team. If the description sounds interesting to you, we invite you to apply to be considered for this opportunity to join our team
What You Need to Know
Salary is commensurate with experience. This position is grant funded; future employment may be contingent upon future funding.
Cover Letter/Resume’/References: A cover letter, resume’, and contact information for three professional references (to include at least one previous supervisor) are strongly recommended. You may upload all three on the application under CV/Resume or upon answering the questionnaire you may attach the documents.
COVID-19 information: Texas A&M University monitors and updates our recruiting, hiring and onboarding processes to align with local, state and federally mandated health guidelines to keep employees, prospective employees, and visitors as safe as possible. Each department has established both remote and in-person procedures for conducting these processes, which include sanitizing common spaces, a mask policy, and maintaining safe physical distancing to the extent possible. Departments will provide the procedures to be followed at each step of the recruiting process.
- PhD in Science, Engineering, Statistics, Mathematics, or similar discipline related to Machine Learning and Scientific Computation
Required Knowledge, Skills, and Abilities:
Ability to work in multidisciplinary teams; strong programming skills; good communication skills; demonstrated expertise in machine learning
Ability to multi-task and work cooperatively with others
Preferred Education and Experience:
Strong academic background in Scientific and Engineering applied areas.
Strong academic background in foundational disciplines related to Science and Engineering
Preferred Knowledge, Skills, and Abilities:
Advanced knowledge of contemporary machine learning methods and foundations; experience with high performance computing and numerical methods to solve science and engineering problems
Strong programming skills including experience with Keras / TensorFlow / Python / Julia; strong interpersonal and communication skills
Ability to cultivate and maintain strong working relationships with people of diverse backgrounds
Research - Undertake original high-quality research within the multidisciplinary collaborative groups in the SciML Lab, in line with objectives agreed upon appointment and reviewed periodically. Produce publications, conference papers and other research outputs, according to agreed objectives, and attend and present of research findings at appropriate conferences and meetings. Attend internal and external seminars, conferences and workshops aimed at sharing research outcomes, building interdisciplinary collaboration within and outside group, and mutual education.
SciML Lab Engagements - Deliver research workshops on SciML topics and software packages and provide consultancy on their usage to other researchers. Contribute talks on individual or group research to the Lab Workshops, contribute to the Sci ML social media. Assist with the mentoring of research students in the group and/or interdisciplinary student team Data Science projects. Performs other duties as assigned
Instructions to Applicants: Applications received by Texas A&M University must either have all job application data entered or a resume attached. Failure to provide all job application data or a complete resume could result in an invalid submission and a rejected application. We encourage all applicants to upload a resume or use a LinkedIn profile to pre-populate the online application.
All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required by the institution’s procedures, including the completion of the criminal history check.
Equal Opportunity/Affirmative Action/Veterans/Disability Employer committed to diversity.
Howdy and thank you for your interest in a career with Texas A&M University. As the flagship campus of The Texas A&M University System, we are located in College Station, Texas with a student population of more than 64,000 and nearly 9,000 faculty and staff.The Spirit of Aggieland is unmistakable. We are a unique American institution, fostering a culture of friendliness, diversity, compassion and respect for one another. Our unique history and rich traditions make Texas A&M special.From our benefits package and professional development opportunities to our retirement programs, Texas A&M is a great place to work. Your path to a great career starts here!Equal Opportunity/Affirmative Action/Veterans/Disability Employer committed to diversity.
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