Overview
On Site
Full Time
Skills
Electrical engineering
HPC
Science
Design
Testing
Algorithms
Scheduling
Policies
FOCUS
Workflow
API
Interfaces
Optimization
Data
Project management
Computer science
Computational Science
Mathematics
Software development
C
C++
Python
High performance computing
Cloud computing
Machine Learning (ML)
Data Analysis
Problem solving
Communication
Management
Research
Life insurance
Compensation management
Screening
Job Details
Description
Postdoctoral Research Associate
The Global Computing Lab (GCLab), in the Department of Electrical Engineering and Computer Science at the University of Tennessee has an open position for a Postdoctoral Research Associate. The GCLab, headed by Dr. Michela Taufer, focuses on various aspects of high-performance computing (HPC) and its application to the sciences. GCLab engages in the design and testing of efficient computational algorithms and adaptive scheduling policies for scientific computing on GPUs, cloud computing, and volunteer computing. Additional information about GCLab can be found at ;br>
RESPONSIBILITIES:
This position will be supporting and conducting research projects in the field of high performance computer architectures, with focus on data analytics, workflows, and high performance computing. The proposed work defining API interfaces for data access and software modules for data movement and data analytics. Duties involve literature review, software development, conducting experiments and optimization, data check and analysis, and project management (e.g. timetabling and meeting project milestones). The Postdoctoral Research Associate Position will provide preliminary results and write discussion of concepts for submission to granting agencies and foundation and also assist in the preparation of manuscripts to publish research results in peer-reviewed technical journals and conference proceedings.
REQUIRED QUALIFICATIONS:
A PhD in computer science, computational sciences, or mathematics is preferred. The successful candidate will need to have completed all PhD requirements by their start date. Knowledge required includes machine learning and statistical methods, proficiency in programming with C, C++, and Python, familiarity with Cloud systems and permanence measurements.
Background in at least one of the following areas is preferred: high performance computing, cloud computing, machine learning, or data analytics.
The successful candidate will possess excellent organizational, interpersonal, problem solving and communication skills, including the ability to prioritize multiple tasks and manage time appropriately. The candidate will work both independently and as part of a team and should be a self-starter with the ability to manage multiple projects and activities, while conducting individual research and disseminating results.
Must be able to work and communicate effectively with faculty, research assistants / associates, administrative assistants, students and other GCLab personnel.
SALARY AND BENEFITS:
Salary is commensurate with qualifications and experience. Full-time position with attractive benefits. Benefits include group health and life insurance; state employee or optional retirement plans; workers' compensation; annual and sick leave.
EFFECTIVE DATE:
Screening of applicants' credentials will begin immediately and will continue until the position is filled.
Postdoctoral Research Associate
The Global Computing Lab (GCLab), in the Department of Electrical Engineering and Computer Science at the University of Tennessee has an open position for a Postdoctoral Research Associate. The GCLab, headed by Dr. Michela Taufer, focuses on various aspects of high-performance computing (HPC) and its application to the sciences. GCLab engages in the design and testing of efficient computational algorithms and adaptive scheduling policies for scientific computing on GPUs, cloud computing, and volunteer computing. Additional information about GCLab can be found at ;br>
RESPONSIBILITIES:
This position will be supporting and conducting research projects in the field of high performance computer architectures, with focus on data analytics, workflows, and high performance computing. The proposed work defining API interfaces for data access and software modules for data movement and data analytics. Duties involve literature review, software development, conducting experiments and optimization, data check and analysis, and project management (e.g. timetabling and meeting project milestones). The Postdoctoral Research Associate Position will provide preliminary results and write discussion of concepts for submission to granting agencies and foundation and also assist in the preparation of manuscripts to publish research results in peer-reviewed technical journals and conference proceedings.
REQUIRED QUALIFICATIONS:
A PhD in computer science, computational sciences, or mathematics is preferred. The successful candidate will need to have completed all PhD requirements by their start date. Knowledge required includes machine learning and statistical methods, proficiency in programming with C, C++, and Python, familiarity with Cloud systems and permanence measurements.
Background in at least one of the following areas is preferred: high performance computing, cloud computing, machine learning, or data analytics.
The successful candidate will possess excellent organizational, interpersonal, problem solving and communication skills, including the ability to prioritize multiple tasks and manage time appropriately. The candidate will work both independently and as part of a team and should be a self-starter with the ability to manage multiple projects and activities, while conducting individual research and disseminating results.
Must be able to work and communicate effectively with faculty, research assistants / associates, administrative assistants, students and other GCLab personnel.
SALARY AND BENEFITS:
Salary is commensurate with qualifications and experience. Full-time position with attractive benefits. Benefits include group health and life insurance; state employee or optional retirement plans; workers' compensation; annual and sick leave.
EFFECTIVE DATE:
Screening of applicants' credentials will begin immediately and will continue until the position is filled.
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