Post Doctoral FellowInternal Title:
College of Engineering and ComputingDepartment:
CEC Computer Science and EngineeringBand :
UnclassifiedAdvertised Minimum Salary :
Salary commensurate with qualifications.Advertised Salary Range:
Salary commensurate with qualificationsPart/Full Time:
Full TimeHours per Week:
Standard working schedule: 8:30am – 5:00pmType of Staff Position:
Must be willing to work a flexible schedule to meet the needs of the department.
Research Grant (RGP)Basis :
12 monthsJob Search Category:
The University of South Carolina System is comprised of the state’s flagship university in Columbia (founded in 1801 and currently one of the top 50 “Best Colleges” according to U.S. News and World Report), three regional comprehensive universities (USC Aiken, USC Beaufort and USC Upstate), and Palmetto College consisting of four two-year campuses (USC Lancaster, USC Salkehatchie, USC Sumter, USC Union and Fort Jackson/Extended University). Together, the USC System institutions offer more than 450 degree programs on campus and online and are uniquely positioned to meet the state’s educational, cultural, health and research needs. The System employs nearly 14,000 people who work daily to improve the lives of students, fellow South Carolinians and the world. Our diverse engaged faculty and staff enjoy a dynamic and intellectually stimulating work environment.Diversity Statement:
At the University of South Carolina, we strive to cultivate an inclusive environment that is open, welcoming, and supportive of individuals of all backgrounds. We recognize diversity in our workforce is essential to providing academic excellence and critical to our sustainability. The University is committed to eliminating barriers created by institutional discrimination through accountability and continuous process improvement. We celebrate the diverse voices, perspectives, and experiences of our employees.Benefit Eligibility Type:
Research Grant (RGP)South Carolina Retirement:
NoState Insurance Programs:
YesAdvertised Job Summary:
Under the general supervision of Prof. Pooyan Jamshidi, the Post-Doctoral Fellow will conduct independent research as the lead in the area of Machine Learning Systems, in particular, Causal AI (Causal Representation Learning, Causal Transfer Learning, Structure Learning, Causal Inference, Counterfactual Reasoning) and Computer Systems (System Performance, Computer Architecture, Configurable Systems). Duties will include: (1) Conduct research and obtain theoretical results in the general area of Causal AI, and Computer Systems Performance; (2) Develop algorithms that correspond to the theoretical results; (3) Design and carry out computational experiments for evaluation of the theoretical algorithms and comparison against competing theories; (4) prepare and deliver presentations of project’s research contributions and attend workshops and conferences to make presentations; (5) assist PI with co-advisement of undergraduate and graduate students at AISys lab involved in relevant research topics and (6) coordinate collaborative research activities in the NSF award “Collaborative Research: SHF: Medium: Causal Performance Debugging for Highly-Configurable Systems” in collaboration with Carnegie Mellon University and Columbia University. This position is ideal for a recent or soon-to-be PhD graduate, who intends to build a resume and embark on a faculty job market after the end of the position by performing cutting-edge research, building a network of collaborators, co-advising students and publishing high-quality peer-reviewed papers. For more information regarding the technical aspects of the project, please refer to the following paper: S. Iqbal, R. Krishna, M.A. Javidian, B. Ray, P. Jamshidi, CADET: A Systematic Method For Debugging Misconfigurations using Counterfactual Reasoning, In Proc. of NeurIPS ML for Systems, Virtual (December 2020). https://arxiv.org/abs/2010.0606. Minimum Qualifications (Classified and Unclassified positions):
PhD in computer science or related fields with expertise in machine learning and computer systems by employment start date.Preferred Qualifications:
Expertise in Causal AI;Large-scale Computer Systems Design and Implementation from Hardware; Microarchitecture, and Software; Theory of Machine LearningKnowledge/Skills/Abilities:
Machine LearningSafety Sensitive or Security Sensitive:
NoHazardous weather category:
Non-EssentialNumber of Vacancies:
1Desired Start Date:
10/01/2021If Research Grant/Time Limited, give end date:
09/30/2022Job Open Date:
08/13/2021Job Close Date:
09/27/2021Open Until Filled:
NoSpecial Instructions to Applicant:
Applicants must use legal full name when responding to this posting. Be sure to include all relevant work history, as it is used to evaluate your qualifications for the position.Quicklink for Posting:
Applicants should be prepared to upload a cover letter, resume/CV, and accurate/valid contact information for your reference providers.
Positions are advertised for a minimum of five (5) business days on our job website. After five (5) business days, positions can be closed at the discretion of the department at any time. This employment site is updated on a regular basis. The length of the recruitment and screening process may vary from position to position, depending upon a variety of factors. Should review of your qualifications result in a decision to pursue your candidacy, you will be contacted by phone or email.
We are only accepting applications submitted by September 27, 2021.
The University of South Carolina does not discriminate in educational or employment opportunities on the basis of race, sex, gender, gender identity, transgender status, age, color, religion, national origin, disability, sexual orientation, genetics, protected veteran status, pregnancy, childbirth or related medical conditions.