Scientific Computing Associate VR Technologies for Social Neuroscience

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Please include a cover letter with your application. Be sure to highlight your coding experience and explain how your enthusiasm and ability to learn quickly can help you succeed in this roleeven if you dont meet every listed requirement.

About the Role:

The Scientific Computing Associate (SCA) position represents an alternative to traditional scientific roles (e.g. postdoc) and provides an ideal environment to establish a career in computational research or software engineering. The position aims at developing qualifications and experience in computational research and professional software engineering in a research environment that enables the candidate to pursue their future career in science or industry. The SCA position is a time-limited appointment for 24 months with discretionary renewal for a final 12-month term (maximally 36 months in total.)

We are seeking a talented and motivated computational scientist to develop and deploy cutting-edge experimental platforms that integrate dynamic virtual reality environments with precise neural and behavioral measurements in animal subjects (fish and flies) for the study of social learning and collective behaviors. This will require synchronization of and logging from many system components (video acquisition animal tracking and pose estimation microscopy image acquisition and/or physiological recordings video game engines multiple displays etc.) as well as development of geometrically precise reconfigurable closed-loop virtual social paradigms that can be reproduced across animal subjects. By integrating real-time behavioral and neural measurements with virtual social environments we enable neuroscientists to measure and model social behaviors in new and creative ways.

Youll work in close collaboration with Scientific Computing MCN-NET and the Schulze and Otopalik Labs. As part of a highly interdisciplinary and collaborative team of computational scientists software and AI engineers and neuroscientists youll have access to high-performance workstations CPU/GPU clusters and experimental systems tailored for fish and fly research. This role will necessarily involve both software development and software-hardware integration with potential opportunities to collect key initial datasets and contribute to publication(s) with the Schulze and Otopalik labs.

What we provide:

• A supportive team environment that promotes collaboration and knowledge sharing.

• The opportunity to engage with world-class researchers software engineers and AI/ML expertscontribute to impactful science and be part of a dynamic community committed to advancing humanitys understanding of fundamental scientific questions.

• Amenities that enhance work-life balance such as on-site childcare free gyms available on-campus housing social and dining spaces and convenient shuttle bus service to Janelia from the Washington D.C. metro area.

What youll do:

Develop Software Architecture for Fish & Fly Experimental Systems

• Clock synchronization across heterogeneous data streams determined by hardware/software.

• Build a robust synchronization layer to ensure <8 ms end-to-end latency for sub-frame accuracy in high-frequency behavioral streams.

• Rigorous metadata and I/O logging to guarantee reproducible analysis pipelines.

• Debugging driver/firmware bottlenecks in DAQs GPUs and cameras. (Interfaces with diverse hardware: cameras DAQ boards GPUs head-mounted displays lasers/scanners.)

• Performance optimization for low-latency precise & dynamic virtual environments.

• Develop reproducible open- and closed-loop virtual social environments and interactions using virtual fish and flies with hard-coded dynamic or agent-based movement rules (working in close collaboration with experimentalists).

Document and Generalize Software Modules for Widespread Use

• Organize software packages that generalize across fish and fly experimental setups with intuitive user interfaces that can be implemented within and beyond the Janelia Research Campus.

• Compose documentation for reproducibility clear metadata standards and user-friendly interfaces (modular APIs and wrappers so experimentalists can use GUIs/editors instead of diving into C#/low-level code).

• Strong Git-based version control workflows and containerization for reproducible deployments.

• Potential opportunity for publication of this suite of tools in a methodological journal.

What you bring:

• A degree in computational sciences or equivalent (. or Ph.D).

• Experience with C# and Python programming (async/multithreading) languages.

• Experience with real-time programming.

• Experience with machine learning big data signal processing preferred.

• Experience in solving complex problems independently.

• Good communication skills comfortable working collaboratively in a team environment.

• Experience with the following will be extremely useful: messaging frameworks (e.g. sockets; currently UDP client used to communicate between Bonsai RX animal tracking software DAQs and Unity) ROS-like systems machine vision GPU programming shared memory agent-based modeling and/or game development.

Physical Requirements:

Remaining in a normal seated or standing position for extended periods of time; reaching and grasping by extending hand(s) or arm(s); dexterity to manipulate objects with fingers for example using a keyboard; communication skills using the spoken word; ability to see and hear within normal parameters; ability to move about workspace. The position requires mobility including the ability to move materials weighing up to several pounds (such as a laptop computer or tablet).

Persons with disabilities may be able to perform the essential duties of this position with reasonable accommodation. Requests for reasonable accommodation will be evaluated on an individual basis.

Please Note:

This job description sets forth the jobs principal duties responsibilities and requirements; it should not be construed as an exhaustive statement however. Unless they begin with the word may the Essential Duties and Responsibilities described above are essential functions of the job as defined by the Americans with Disabilities Act.

Compensation Range

A Scientific Computing Associate is compensated at a rate of $90000.00 annually at HHMIs Janelia Research Campus.

Pay Type: Salary

HHMIs salary structure is developed based on relevant job market data. HHMI considers a candidates education previous experiences knowledge skills and abilities as well as internal consistency when making job offers.

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Compensation and Benefits

Our employees are compensated from a total rewards perspective in many ways for their contributions to our mission including competitive pay exceptional health benefits retirement plans time off and a range of recognition and wellness programs. Visit our Benefits at HHMI site to learn more.

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