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''' The Computational Memory Lab is currently seeking applications for the following positions: '''
 
''' The Computational Memory Lab is currently seeking applications for the following positions: '''
  
== Postdoctoral Research Fellow ==
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<!--== Research Specialist ==
The Computational Memory Laboratory in the Department of Psychology at the University of Pennsylvania is seeking to recruit a postdoctoral fellow to collaborate with Dr. Kahana's team on the electrophysiology of human memory, as studied both through passive recordings and direct brain stimulation. The successful applicant will become part of a multi-center effort to study learning and memory in neurosurgical patients who have implanted electrodes for seizure mapping. As part of this project, we are developing a novel brain stimulation therapy for patients with memory disorders, which involves collaboration with six different clinical and research centers.
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The Computational Memory Lab in the Department of Psychology at the University of Pennsylvania is seeking to recruit a full-time Research Specialist to assist with NIH-funded studies of human memory processes and their neural basis. The successful candidate will join a team of research scientists including PhD students and postdoctoral researchers, to assist with both conducting experimental studies and analyzing data. This would be an ideal position for someone interested in ultimately pursuing graduate training in cognitive neuroscience, medicine, psychology, or bioengineering.
  
We are particularly interested in candidates who have a strong quantitative background (e.g., multivariate methods such as machine learning, dimensionality reduction, and pattern similarity analysis). Applicants should send their CV, publications and a list of references to Dr. Kahana at kahana@psych.upenn.edu.
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Major responsibilities include managing and expanding a pool of volunteers; 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).  
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Required Qualifications:
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• Bachelor's degree in psychology, cognitive science, neuroscience, or related field, and 0 to 1 year of experience.
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• Excellent organizational and interpersonal skills.
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Preferred Qualifications:
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• Relevant experience in human subjects research, especially with EEG, fMRI, eye tracking, behavioral measures, and related data analysis.  
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• Familiarity with Python, MATLAB, R, or other languages, and familiarity with Linux environments.
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• A two-year commitment is desired.
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Apply online here: https://wd1.myworkdaysite.com/en-US/recruiting/upenn/careers-at-penn/job/Leidy-Laboratories-of-Biology/Research-Specialist-A--Computational-Memory-Lab_JR00017379
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== Clinical Research Specialist ==
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The Computational Memory Lab at the University of Pennsylvania seeks to recruit a research specialist who is eager to assist research studies contributing towards the development of novel therapies for patients with memory impairment.  This position focuses on conducting neural recordings (intracranial EEG and single-neuron) and direct electrical brain stimulation in neurosurgical patient participants to probe and modulate the neural substrates of memory function. The successful candidate will join a multi-disciplinary team of researchers, clinicians, data scientists, and engineers to carry out research under National Institutes of Health grant funding. The ideal candidate possesses excellent interpersonal, organizational, and scientific skills and a passion for advanced cutting-edge medical research and technology development.  This would be an ideal position for someone interested in ultimately pursuing graduate training in cognitive neuroscience, medicine, 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, to facilitate data analysis using the lab’s tools.  Exceptional candidates will have experience in data analysis and programming.  A 2-year commitment is desired.  Position is contingent on continued funding.
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Required Qualifications:
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• Bachelor's degree in psychology, cognitive science, neuroscience, bioengineering, or related field, and 0 to 1 year of experience.
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• Excellent organizational and interpersonal skills.
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• Ability to travel up to 20% of the time and work flexible hours as needed.
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Preferred Qualifications:
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• Relevant experience in human subjects research, especially in a clinical setting.
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• Familiarity with EEG, MRI, and other relevant technologies.
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• Familiarity with Python, MATLAB, R, or other languages, and familiarity with Linux environments.
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• A two-year commitment is desired.
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Apply online through https://wd1.myworkdaysite.com/en-US/recruiting/upenn/careers-at-penn/job/Leidy-Laboratories-of-Biology/Research-Specialist--Computational-Memory-Lab_JR00017387-->
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==Research Project Manager ==
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The Research Project Manager will work directly under the Principle Investigator to administer a large multi-site project aimed at using direct electrical stimulation of human brains as a manipulative tool to probe network physiology, especially memory-related networks, and as a potential therapy for cognitive restoration in patients suffering from the effects of traumatic brain injury or other neurological disorders. This a multi-functional role overseeing all aspects of these projects, with responsibilities ranging from hiring and managing a team of research and software development staff, coordinating data collection across multiple clinical research sites, managing regulatory affairs, developing training and workflows, in-person travel to clinical research centers to perform start-up activities and facilitate data collection, providing guidance and feedback to the systems development team responsible for developing the memory testing and stimulation platform, and other project management duties.  Candidates must possess very strong technical skills, including experience with electrophysiology in either animal or human studies and in programming novel data analyses.  This position is funded by federally-sponsored research grants and contingent on continued grant support
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Required Qualifications:
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A bachelor's degree in neuroscience, biomedical engineering, biophysics, psychology, or related field; 3-5 years of research experience, ideally in a setting of high-volume data collection and quantitative analysis; strong communication skills, excellent organizational skills; Basic neuroscience/neuroanatomy background knowledge; Familiarity with clinical and research electrophysiology systems (scalp EEG, intracranial EEG, human single unit recordings); Experience using UNIX/Linux systems; Experience with scientific/statistical computing techniques and languages; Human subjects research experience, especially in a clinical setting
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Preferred Qualifications:
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An advanced degree (MS, MEng, PhD, etc.) in neuroscience, biomedical engineering, biophysics, psychology, or related field; Experience with grant progress report preparation and proposal writing; Experience with regulatory affairs: IRB protocol submission and continuing reviews; Proficiency and stronger experience with those listed above in “Required”.
  
 
== Digital Media Design (Undergraduate Work-study Position) ==
 
== Digital Media Design (Undergraduate Work-study Position) ==
 
The Computational Memory Lab is looking to recruit a DMD student for the 2019 Fall semester to help design UNITY-based memory experiments to interface with closed-loop brain stimulation algorithms. Additionally, we are looking for a student who can assist with designing stunning graphical illustrations of scientific findings for inclusion in our lab's research publications. To apply for the position, please send a CV and transcript to Professor Kahana at kahana@psych.upenn.edu using the subject line: "3-D Design”.
 
The Computational Memory Lab is looking to recruit a DMD student for the 2019 Fall semester to help design UNITY-based memory experiments to interface with closed-loop brain stimulation algorithms. Additionally, we are looking for a student who can assist with designing stunning graphical illustrations of scientific findings for inclusion in our lab's research publications. To apply for the position, please send a CV and transcript to Professor Kahana at kahana@psych.upenn.edu using the subject line: "3-D Design”.
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<!--== Research Assistant (Undergraduate Work-Study) ==
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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.
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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.
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To apply, please submit a resume to memorylab@psych.upenn.edu.-->
  
 
<!--== Research Coordinator ==
 
<!--== Research Coordinator ==
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For more information on the position and to apply, please visit: http://jobs.hr.upenn.edu/postings/21018 -->
 
For more information on the position and to apply, please visit: http://jobs.hr.upenn.edu/postings/21018 -->
 
 
<!--== Research Assistant (Undergraduate Work-Study) ==
 
 
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 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.
 
 
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.
 
 
To apply, please submit a resume to memorylab@psych.upenn.edu. -->
 
  
  

Revision as of 14:47, 19 March 2020

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


Research Project Manager

The Research Project Manager will work directly under the Principle Investigator to administer a large multi-site project aimed at using direct electrical stimulation of human brains as a manipulative tool to probe network physiology, especially memory-related networks, and as a potential therapy for cognitive restoration in patients suffering from the effects of traumatic brain injury or other neurological disorders. This a multi-functional role overseeing all aspects of these projects, with responsibilities ranging from hiring and managing a team of research and software development staff, coordinating data collection across multiple clinical research sites, managing regulatory affairs, developing training and workflows, in-person travel to clinical research centers to perform start-up activities and facilitate data collection, providing guidance and feedback to the systems development team responsible for developing the memory testing and stimulation platform, and other project management duties. Candidates must possess very strong technical skills, including experience with electrophysiology in either animal or human studies and in programming novel data analyses. This position is funded by federally-sponsored research grants and contingent on continued grant support

Required Qualifications:

A bachelor's degree in neuroscience, biomedical engineering, biophysics, psychology, or related field; 3-5 years of research experience, ideally in a setting of high-volume data collection and quantitative analysis; strong communication skills, excellent organizational skills; Basic neuroscience/neuroanatomy background knowledge; Familiarity with clinical and research electrophysiology systems (scalp EEG, intracranial EEG, human single unit recordings); Experience using UNIX/Linux systems; Experience with scientific/statistical computing techniques and languages; Human subjects research experience, especially in a clinical setting

Preferred Qualifications:

An advanced degree (MS, MEng, PhD, etc.) in neuroscience, biomedical engineering, biophysics, psychology, or related field; Experience with grant progress report preparation and proposal writing; Experience with regulatory affairs: IRB protocol submission and continuing reviews; Proficiency and stronger experience with those listed above in “Required”.

Digital Media Design (Undergraduate Work-study Position)

The Computational Memory Lab is looking to recruit a DMD student for the 2019 Fall semester to help design UNITY-based memory experiments to interface with closed-loop brain stimulation algorithms. Additionally, we are looking for a student who can assist with designing stunning graphical illustrations of scientific findings for inclusion in our lab's research publications. To apply for the position, please send a CV and transcript to Professor Kahana at kahana@psych.upenn.edu using the subject line: "3-D Design”.





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