Difference between revisions of "Jobs"

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m (Added Research and Programming Specialist position)
m (removed some positions)
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To apply, click [https://wd1.myworkdaysite.com/en-US/recruiting/upenn/careers-at-penn/job/Stephen-A-Levin-Building---2nd-Floor/Research-and-Programming-Specialist--Computational-Memory-Lab_JR00030266 | here]
 
To apply, click [https://wd1.myworkdaysite.com/en-US/recruiting/upenn/careers-at-penn/job/Stephen-A-Levin-Building---2nd-Floor/Research-and-Programming-Specialist--Computational-Memory-Lab_JR00030266 | here]
  
==Research Specialist==
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<!--==Research Specialist==
  
 
The Computational Memory Lab at the University of Pennsylvania seeks to recruit a research specialist to assist with a multicenter project aimed at identifying patterns of brain activity that predict when memory will succeed or fail, and using these patterns to guide closed-loop stimulation protocols aimed at boosting memory in patients with brain injury or neurological disease.  The successful candidate will join a multi-disciplinary team of researchers, clinicians, data scientists, and engineers to carry out research under several federally funded grants. The ideal candidate will possess exceptional organizational and interpersonal skills, a sound foundation of technical skills and a strong desire to further build those skills during their tenure in the lab, and a passion for research aimed at understanding the neural basis of human memory.  This is an ideal position for someone interested in pursuing future graduate training in cognitive/systems/computational neuroscience or bioengineering, and provides an excellent opportunity to work with clinical researchers, neurologists, and neurosurgeons at top medical research centers across the country.  The position requires familiarity with Python, MATLAB, or similar programming languages, and comfort working in a Unix environment.  Exceptional candidates will have experience in data analysis and programming and a strong record of academic achievement.  A 2-year commitment is expected.  Position is contingent on continued funding.  Please see http://memory.psych.upenn.edu for more information about the lab and its projects.
 
The Computational Memory Lab at the University of Pennsylvania seeks to recruit a research specialist to assist with a multicenter project aimed at identifying patterns of brain activity that predict when memory will succeed or fail, and using these patterns to guide closed-loop stimulation protocols aimed at boosting memory in patients with brain injury or neurological disease.  The successful candidate will join a multi-disciplinary team of researchers, clinicians, data scientists, and engineers to carry out research under several federally funded grants. The ideal candidate will possess exceptional organizational and interpersonal skills, a sound foundation of technical skills and a strong desire to further build those skills during their tenure in the lab, and a passion for research aimed at understanding the neural basis of human memory.  This is an ideal position for someone interested in pursuing future graduate training in cognitive/systems/computational neuroscience or bioengineering, and provides an excellent opportunity to work with clinical researchers, neurologists, and neurosurgeons at top medical research centers across the country.  The position requires familiarity with Python, MATLAB, or similar programming languages, and comfort working in a Unix environment.  Exceptional candidates will have experience in data analysis and programming and a strong record of academic achievement.  A 2-year commitment is expected.  Position is contingent on continued funding.  Please see http://memory.psych.upenn.edu for more information about the lab and its projects.
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*A two-year commitment is desired.
 
*A two-year commitment is desired.
  
To apply, click [https://www.myworkday.com/upenn/d/inst/3$15414/5303$21361.htmld#TABINDEX=0&SUBTABINDEX=0| here]
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To apply, click [https://www.myworkday.com/upenn/d/inst/3$15414/5303$21361.htmld#TABINDEX=0&SUBTABINDEX=0| here]-->
  
 
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<!--==Data and Programming Specialist==
==Data and Programming Specialist==
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This work will include the rapid and flexible development of new experiments in human memory, as well as critical improvements to existing programs and libraries.  The candidate will also analyze large multivariate datasets on human memory and electrophysiology, collect scalp and intracranial EEG data from human participants, and program experiments in Python.  Other responsibilities will include general lab system administration including websites, file servers, and our computer cluster, as well as simulations of human memory processes in computational models of memory.  The candidate is expected to coordinate with a team of cognitive scientists, neuroscientists, and engineers on multiple projects involving brain stimulation to boost human cognitive abilities, online experiments of human memory, and computational cluster analyses of EEG data from human participants.  Experience with Unity is a plus but is not required.
 
This work will include the rapid and flexible development of new experiments in human memory, as well as critical improvements to existing programs and libraries.  The candidate will also analyze large multivariate datasets on human memory and electrophysiology, collect scalp and intracranial EEG data from human participants, and program experiments in Python.  Other responsibilities will include general lab system administration including websites, file servers, and our computer cluster, as well as simulations of human memory processes in computational models of memory.  The candidate is expected to coordinate with a team of cognitive scientists, neuroscientists, and engineers on multiple projects involving brain stimulation to boost human cognitive abilities, online experiments of human memory, and computational cluster analyses of EEG data from human participants.  Experience with Unity is a plus but is not required.
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*Computer Science (or related field) Major.
 
*Computer Science (or related field) Major.
  
To apply, click [https://www.myworkday.com/upenn/d/inst/3$15414/5303$21101.htmld#TABINDEX=0&SUBTABINDEX=0| here]
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To apply, click [https://www.myworkday.com/upenn/d/inst/3$15414/5303$21101.htmld#TABINDEX=0&SUBTABINDEX=0| here] -->
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<!--== Research Assistant (Undergraduate Work-Study) ==
 
<!--== Research Assistant (Undergraduate Work-Study) ==

Revision as of 13:41, 16 March 2021

The Computational Memory Lab is currently seeking applications for the following positions:

Research and Programming Specialist

The Computational Memory Lab at the University of Pennsylvania seeks to recruit a Research and Programming Specialist to assist with a multi-center project aimed at identifying patterns of brain activity that predict when memory will succeed or fail, and using these patterns to guide closed-loop stimulation protocols aimed at boosting memory in patients with brain injury or neurological disease. The successful candidate will join a multi-disciplinary team of researchers, clinicians, data scientists, and engineers to carry out research under several federally funded grants. The ideal candidate will possess exceptional organizational and interpersonal skills, a solid foundation of technical skills, and a strong desire to further build those skills during their tenure in the lab, as well as a passion for research aimed at understanding the neural basis of human memory. This position provides an excellent opportunity to work with clinical researchers, neurologists, and neurosurgeons at top medical research centers across the country. The position requires familiarity with Python, C#, or similar programming languages, and comfort working in a Linux or Unix environment. Exceptional candidates will have experience in data analysis and programming and a strong record of academic achievement. A 2-year commitment is expected. Position is contingent on continued funding. Please see http://memory.psych.upenn.edu for more information about the lab and its projects.

Required Qualifications:

  • Bachelor's degree and 0 to 1 year of experience.
  • Excellent organizational and interpersonal skills.
  • Experience with Python, C#, or other languages, and familiarity with Linux environments.
  • Ability to travel up to 20% of the time and work flexible hours as needed.
  • A two-year commitment is desired.

To apply, click | here




For more information on our research, please click here. For more information on Penn's salary structure, click here.