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'''The Computational Memory Lab is currently seeking applications for the following positions:'''
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''' The Computational Memory Lab is currently seeking applications for the following positions: '''
  
[https://www.hr.upenn.edu/career/salary-offers Click here for information on Penn's salary structure]
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==Research and Programming Specialist==
  
== Research Assistant ==
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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.
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The Computational Memory Laboratory in the Department of Psychology at the University of Pennsylvania is seeking to recruit a part-time Research Assistant to assist with federally funded studies of human memory processes and how these processes change across the adult lifespan. The project is aimed at using computational models to interpret behavioral and neural data both on healthy memory function in young adults and age-related impairments in memory performance. The successful candidate will join a team of research scientists studying the ways in which the brain stores and retrieves verbal and spatial memories and how these processes are affected by aging.
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This would be an ideal position for someone interested in ultimately pursuing graduate training in cognitive neuroscience, medicine, psychology, or bioengineering.
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Required Qualifications:
  
Major responsibilities include carrying out experiments on human memory by means of high-density scalp EEG recordings; annotating vocal responses in memory tasks; assisting the research team in processing and analyzing these behavioral and electrophysiological data; supervising a team of undergraduate research assistants; and assisting in general lab administration (grants, progress reports, IRB protocols). This position requires an individual who possesses excellent interpersonal, organizational, and scientific skills. This individual must be able to work independently with limited oversight to maximize the amount of high-quality data collected.
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*Bachelor's degree and 0 to 1 year of experience.
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*Excellent organizational and interpersonal skills.
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*Experience with Python, C#, or other languages, and familiarity with Linux environments.
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*Ability to travel up to 20% of the time and work flexible hours as needed.
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*A two-year commitment is desired.
  
To apply, submit a cover letter, unofficial transcripts, and a resume to memorylab@psych.upenn.edu
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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]
  
== Senior Data Analyst ([http://www.darpa.mil/program/restoring-active-memory DARPA RAM Project]) ==
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<!--==Research Specialist==
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The Computational Memory Lab is hiring a Senior Data Analyst. The selected applicant will lead the development of novel machine learning algorithms to decode cognitive states based upon multichannel intracranial time series data from human and nonhuman subjects. He/she will implement dimensionality reduction techniques and evaluate and implement large-scale data processing architectures (Hadoop, Hive, Spark, etc.) to manage the analysis of hundreds of terabytes of neural and behavioral data. He/she will interface with principal investigators and senior research staff at leading neuroscience institutions and medical device companies, and present results to project sponsors. The ideal candidate will possess exceptional statistical and programming skills, and the ability to communicate complex concepts through sophisticated data visualizations.
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'''Required Qualifications'''
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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.
  
*PhD in computer science, statistics, engineering, neuroscience or directly related quantitative field, or MS with at least 4 years relevant post-graduate experience.
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Required Qualifications:
*Background in machine learning, regression modeling, feature discovery/selection, optimization, exploratory data analysis, data mining, pattern recognition.
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*Experience with the development and implementation of novel machine learning techniques.
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*Experience with Python, C/C++ and object-oriented programming techniques.
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*Experience with scientific computing languages (Python, R, SAS, Matlab).
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'''Preferred Qualifications'''
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*Bachelor's degree in psychology, cognitive science, neuroscience, bioengineering, or related field, and 0 to 1 year of experience, or equivalent combination of education and experience.
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*Excellent organizational and interpersonal skills.
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*Experience with human subjects research, especially in a clinical setting.
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*Familiarity with Python, MATLAB, R, or other languages, and familiarity with Linux environments.
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*Ability to travel up to 20% of the time and work flexible hours as needed.
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*A two-year commitment is desired.
  
*Experience with neural time series analysis.
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To apply, click [https://www.myworkday.com/upenn/d/inst/3$15414/5303$21361.htmld#TABINDEX=0&SUBTABINDEX=0| here]-->
*Experience with large-scale data storage processing architectures (Hadoop, Hive, Spark, etc.).
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*Experience with collaborative software development.
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*Experience with Windows, Mac and Linux development environments.
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*Good communication, interpersonal, and leadership skills.
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[https://jobs.hr.upenn.edu/postings/12092 '''Apply online at https://jobs.hr.upenn.edu/postings/12092''']
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<!--==Data and Programming Specialist==
  
== Senior Scientific Programmer ([http://www.darpa.mil/program/restoring-active-memory DARPA RAM Project]) ==
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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.
   
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The Computational Memory Lab is hiring a Senior Scientific Programmer to lead the development of software tools and computational resources needed to develop a novel brain stimulation therapy for patients with memory impairment. This groundbreaking neuro-engineering project is part of President Obama’s BRAIN Initiative.  
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The selected applicant will lead the development of technical computing software, experimental programming libraries, cluster computing resources, and data transfer protocols. He/she will interface with senior research staff at multiple institutions and equipment vendors, and lead the development of a real-time system for closed-loop brain recording and stimulation, with high data acquisition and computational loads and low-latency requirements. He/she will manage the configuration of the closed-loop brain recording and stimulation system, including system updates and technical support to multiple clinical sites. Finally, he/she will lead the development and maintenance of systems to transfer experimental data from clinical sites to a centralized server. The ideal candidate will possess exceptional system development skills, past experience in mathematical programming, and the ability to develop and enhance a hybrid system implemented in multiple computer languages.
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The position is planned as temporarily remote, with an expectation of on-site presence at the University of Pennsylvania upon resumption of on-site activities for this position category.
  
'''Required Qualifications'''
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Required qualifications:
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*Bachelor’s degree is required with 0-1 years of experience.
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*Interest in developing new software technology for brain research.
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*Python programming ability.
  
*Bachelor’s degree with at least 5 years relevant experience or Master’s degree with at least 3 years relevant experience
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Preferred qualifications:
*Proficiency with C/C++ and Python
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*Expertise in Python programming.
*Experience with scientific / statistical computing techniques and languages (MATLAB, SciPy, NumPy, etc.)
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*Excellence in technical coursework.
*Experience with Windows, Mac or Linux or Unix development environments
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*Exceptional quantitative skills.
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*Experience with C# or Unity.
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*Experience with EEG and human subjects testing.
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*Computer Science (or related field) Major.
  
'''Preferred Qualifications'''
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To apply, click [https://www.myworkday.com/upenn/d/inst/3$15414/5303$21101.htmld#TABINDEX=0&SUBTABINDEX=0| here] -->
  
*PhD in computer science, neuroscience, bioengineering, mathematics or physics
 
*Experience with real-time computing and threading
 
*Experience working in a fast-paced collaborative software development setting
 
  
[http://jobs.hr.upenn.edu/postings/11057 '''Apply online at http://jobs.hr.upenn.edu/postings/11057.''']
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<!--== Research Assistant (Undergraduate Work-Study) ==
 
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== Scientific Software Developer ([http://www.darpa.mil/program/restoring-active-memory DARPA RAM Project]) ==
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This position is responsible for developing and maintaining state-of-the-art tools to conduct human memory experiments and to develop new therapies to treat memory disorders. You will be responsible for the development and testing of experimental programming libraries, and data analysis of large neurophysiology data sets. You will integrate applications with other system components, create system and user-level documentation, and develop architectures to store and analyze large data sets. The position will be supervised by the project director and will interface extensively with project scientists, engineers and clinicians.
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'''Required Qualifications'''
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*Experience with Python, Matlab, or C/C++ required.
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*Ability to implement, understand, and maintain mathematical and scientific codes.
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'''Preferred Qualifications'''
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*Master’s or PhD in mathematics, computer science, engineering, or other scientific field preferred.
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*Experience with Big Data technologies, including Hadoop and Spark. SQL database programming.
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*Developing or maintaining public software libraries.
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*Identifying technical and algorithmic needs for research teams.
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*Software engineering, including algorithms, design, data structures, and object-oriented techniques.
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[http://jobs.hr.upenn.edu/postings/10538 '''Apply online at http://jobs.hr.upenn.edu/postings/10538.''']
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<!--
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== Research Specialist A ==
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The Computational Memory Lab at the University of Pennsylvania is seeking to recruit a full-time research specialist for aresearch
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The Computational Memory Laboratory in the Department of Psychology at the University of Pennsylvania is seeking to recruit a part-time Undergraduate Research Assistant to assist with federally funded studies of human memory processes. The successful candidate will join a team of research scientists studying the ways in which the brain stores and retrieves verbal and spatial memories.
and development project. The project is aimed at producing cognitive enhancement through brain stimulation. The successful applicant will join a team of research
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scientists studying the ways in which the brain stores and retrieves verbal and spatial memories, and whether memory can be enhanced or attenuated by stimulation.
+
 
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This would be an ideal position for someone interested in ultimately pursuing graduate training in engineering (especially bio/biomedical), medicine, psychology,
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neuroscience, or cognitive science.
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Major responsibilities include carrying out experiments on human memory with neurosurgical patients who are undergoing long term monitoring with implanted
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electrodes; carrying out experiments on patients and healthy volunteers using scalp EEG; assisting the research team in processing and analyzing these behavioral and
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electrophysiological data; and assisting in general lab administration (grants, progress reports, IRB protocols). This position requires an individual who possesses
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excellent interpersonal, organizational, and scientific skills. This individual must be able to work independently (and alongside clinical personnel) with limited
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oversight to ensure that as much high-quality data is collected from each patient as possible.
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A 2-3 year minimum commitment is desired.
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=== Required Qualifications ===
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*Bachelor's degree in Engineering, Psychology, Neuroscience, Pre-Med, or related field.
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Major responsibilities include carrying out experiments on human memory by means of high-density scalp EEG recordings and annotating vocal responses in memory tasks. This position requires an individual who possesses excellent interpersonal and organizational skills. This would be an ideal position for a student interested in cognitive neuroscience, medicine, psychology, or bioengineering.
*Excellent interpersonal, organizational, and scientific skills.
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*Ability to work independently (and alongside clinical professionals) with limited oversight to ensure that high-quality data is collected.
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=== Preferred Qualifications ===
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To apply, please submit a resume to memorylab@psych.upenn.edu.-->
*MATLAB, Unix, and/or Python experience.
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Job not yet posted to Penn jobs site.
 
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For more information on our research, please click [[Research| here]].
 
For more information on our research, please click [[Research| here]].
 +
[https://www.hr.upenn.edu/career/salary-offers For more information on Penn's salary structure, click here.]

Latest 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.