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

Click here for information on Penn's salary structure

Scientific Software Developer

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.

Required Qualifications

  • Experience with Python, Matlab, or C/C++ required.
  • Ability to implement, understand, and maintain mathematical and scientific codes.

Preferred Qualifications

  • Master’s or PhD in mathematics, computer science, engineering, or other scientific field preferred.
  • Experience with Big Data technologies, including Hadoop and Spark. SQL database programming.
  • Developing or maintaining public software libraries.
  • Identifying technical and algorithmic needs for research teams.
  • Software engineering, including algorithms, design, data structures, and object-oriented techniques.

Apply online at http://jobs.hr.upenn.edu/postings/10538.

Senior Scientific Programmer

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.

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.

Required Qualifications

  • Bachelor’s degree with at least 5 years relevant experience or Master’s degree with at least 3 years relevant experience
  • Proficiency with C/C++ and Python
  • Experience with scientific / statistical computing techniques and languages MATLAB, SciPy, NumPy, etc.)
  • Experience with Windows, Mac or Linux or Unix development environments

Preferred Qualifications

  • 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

Apply online at http://jobs.hr.upenn.edu/postings/11057.


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