Graduate Research Fellow--Predoctoral Training in Biomedical Big Data Science 2019
- Employer
- The University of Texas at Austin
- Location
- Austin, TX
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- Faculty Jobs
- Engineering & Mathematics, Chemical & Biological Engineering, Science & Technology, Chemistry & Biochemistry, Life Sciences
- Position Type
- Postdoc
- Employment Type
- Full Time
- Institution Type
- Four-Year Institution
Job Details
Location:
Austin, TX
Open Date:
Dec 5, 2018
Close Date:
Apr 16, 2019
Description:
The NIH BD2K T32 pre-doctoral training program at UT-Austin
The ever-increasing accumulation of data continues to outstrip the graduate training needed to meaningfully mine the data collected. This issue is further complicated by the fact that holistic training in biomedical big data analysis requires PhD-level expertise in not one, but three core research areas: (1) biology (2) statistics and (3) computer science, yet the majority of traditional PhD training programs demand that students choose just one of these areas as their focus. A growing number of biomedical PhD students are recognizing the need to develop data analysis and computational biology skills, at the same time that a growing number of computer science and statistics PhD students are realizing that their marketability could be substantially expanded if they knew how to apply their skills to solve outstanding problems in the health arena. The purpose of this pre-doctoral training program at The University of Texas at Austin is for the trainee to become an expert in one of the following areas: 1. Statistics (STAT); 2. Computer Science (CS); 3. Computational science, engineering, and mathematics (CSEM); or 4. Biology (via a PhD in one of a. neuroscience [NS]; b. ecology, evolution, and behavior [EEB]; c. cell and molecular biology [CMB]; or d. Biomedical Engineering [BME]) while also obtaining essential training in all three core areas (statistics, computer science, and biology).
Training for the program involves three formal components:
- core courses (3);
- research lab rotations (2);
- seminar/workshops course.
Benefits of the program include: two years of prestigious fellowship funding; training in statistics, computer science, and biology via three formal courses, a seminar course, and research rotations, funding for travel to NIH BD2K consortium meeting in Bethesda and to a national Big Data science meeting (while supported by training grant); excellent and enhanced job prospects upon graduation.
Qualifications:
UT-Austin PhD student in Statistics, Computer Science, Biology (via Neuroscience, Ecology, Evolution & Behavior, Cellular & Molecular Biology, or Biomedical Engineering) or Computational Science, Engineering & Mathematics (CSEM).
These positions are open to permanent residents and US citizens only. Women and minority students are encouraged to apply.
Application Instructions:
Applicants must be enrolled in one of the participating graduate programs and should be either beginning their first or second year of graduate study as of Fall 2019.
Applications will consist of these items: Interfolio application, CV, list of quantitative courses taken (undergraduate and graduate levels), one letter of support from a UT-Austin faculty member, and a one-page statement of interest.
Application deadline is April 2, 2019.
Organization
What starts here changes the world
Like the state it calls home, The University of Texas at Austin is a bold, ambitious leader. UT Austin is the flagship school of the University of Texas System, which includes eight academic universities and six health institutions statewide. Ranked among the biggest and best research universities in the country, UT Austin is home to more than 51,000 students and 3,000 teaching faculty. Together we are working to change the world through groundbreaking research and cutting-edge teaching and learning techniques. Here, tradition and innovation blend seamlessly to provide students with a robust collegiate experience.
Amid the backdrop of Austin, Texas, a city recognized for its creative and entrepreneurial spirit, the university provides a place to explore countless opportunities for tomorrow’s artists, scientists, athletes, doctors, entrepreneurs, and engineers.
Diversity
Diversity is an indispensable part of excellence. UT Austin has defended this principle all the way to the Supreme Court, and American higher education has benefitted.
UT Austin embraces diversity, striving to create an inclusive community that fosters an open and supportive learning, teaching, and working environment. The university’s strength draws from a wide range of perspectives and experiences. UT Austin shares a commitment to free speech and expression, coupled with equal treatment of all members of the campus community.
The university’s Division of Diversity and Community Engagement (DDCE) offers more than 40 programs and initiatives that support this vision. Additionally, in the spring of 2017, the University Diversity and Inclusion Action Plan (UDIAP) was created to serve as a blueprint for future diversity and inclusion efforts.
Research
UT Austin provides access to top research, both inside and outside the university, so you can perform at the highest level. Students and faculty are encouraged to explore and discover across disciplinary boundaries. UT Austin researchers work to fight and treat diseases, devise solutions to global problems, address critically important social issues, and improve the human condition in myriad ways. The university's world-class resources include extensive grant and funding opportunities; broad support networks dedicated to turning ideas into products and companies; and state-of-the-art labs, studios, and facilities.
UT Austin is proud to support its inspiring community of researchers — and is dedicated to sharing their work with the world.
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