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About the Role

The Nanoscience Initiative at the CUNY Advanced Science Research Center (ASRC) invites applications for a Postdoctoral Research Associate. The postdoctoral researcher will work with Prof. Xi Chen, Prof. Rein Ulijn, and facility directors to develop next-generation automation technologies for advanced biomaterials research. This position is supported by a newly funded NSF Cloud Lab (AI-BIOME) project aimed at using robots and AI-driven discovery to design, make, and improve materials far faster than conventional trial-and-error methods. This position offers a unique opportunity to develop autonomous laboratory technologies that will accelerate biomaterials discovery while contributing to the next generation of cloud-connected scientific infrastructure.

Responsibilities

Design and build motorized sample stages capable of handling multi-sample arrays for automated experimentation.
Develop embedded hardware and firmware for precision motion control, sensor integration, and instrument interfacing.
Create software frameworks and API-based instrument control for automated data acquisition and experiment execution.
Integrate microscopy, imaging, and surface science instruments into unified automation workflows.
Develop automate workflows for peptide synthesis, biomaterial characterization, and high-throughput experimentation.
Develop scheduling, scripting, and remote-control capabilities for cloud-enabled laboratories.
Collaborate with National Laboratories and other PCL nodes to deploy automation solutions across multiple experimental platforms.
Document hardware and software designs and contribute to open-source software and laboratory automation tools where appropriate.
Publish research in leading journals and present findings at scientific conferences.
Other duties as assigned.

Requirements

Ph.D. in Electrical Engineering, Computer Engineering, Mechanical Engineering, Physics, or a closely related field.
Strong experience in scientific instrument control and laboratory automation.
Strong experience in embedded systems development.
Strong experience in hardware programming in C/C++, Python, and/or LabVIEW.
Strong experience in API development and software integration.
Strong experience in microcontroller-based system design.
Strong experience in motion control systems, including stepper motors, servo motors, and linear stages.
Strong experience in interfacing scientific instruments and hardware using Serial, USB, Ethernet, or related communication protocols.
Strong experience in integration of cameras, sensors, and data acquisition hardware.
Strong experience in scientific software development on Linux or Windows platforms.
Experience in biomaterials research is desirable.
Experience in microscopy and imaging systems is desirable.
Experience in surface science instrumentation (e.g., AFM, optical microscopy, profilometry, spectroscopy) is desirable.
Experience in laboratory robotics and high-throughput experimentation is desirable.
Experience in machine vision and computer vision is desirable.
Experience in cloud-based laboratory automation or remote instrumentation is desirable.
Innovative engineer who enjoys building complete hardware-software systems to accelerate scientific discovery.
Comfortable rapidly prototyping new instrumentation.
Comfortable integrating commercial scientific instruments.
Comfortable collaborating with researchers from engineering, chemistry, materials science, and biology.
Excellent written and verbal communication skills.
Ability to work both independently and collaboratively in a highly interdisciplinary research environment.
Applications submitted without a cover letter will not be considered.

Skills

Robotics
Embedded systems
Scientific instrumentation
Software engineering
Biomaterials research
Hardware programming in C/C++
Hardware programming in Python
Hardware programming in LabVIEW
API development
Software integration
Microcontroller-based system design
Motion control systems
Stepper motors
Servo motors
Linear stages
Serial communication
USB communication
Ethernet communication
Camera integration
Sensor integration
Data acquisition hardware integration
Scientific software development on Linux
Scientific software development on Windows
Microscopy
Imaging systems
Surface science instrumentation
AFM
Optical microscopy
Profilometry
Spectroscopy
Laboratory robotics
High-throughput experimentation
Machine vision
Computer vision
Cloud-based laboratory automation
Remote instrumentation

Location

CUNY-ADVANCED SCIENCE RESEARCH CENTER

Work Type

Full-time

Experience Level

Postdoctoral

Education Level

Ph.D.

Salary/Compensations

$66,300

Benefits

RFCUNY Employee Benefits and Accruals

About the Company

The team at RFCUNY is made up of dedicated, talented professionals committed to providing the services that allow CUNY researchers, faculty, and staff to focus on their intellectual curiosity and scientific discoveries.

Equal Opportunity

The Research Foundation of the City University of New York is an Equal Opportunity/Affirmative Action/Americans with Disabilities Act/E-Verify Employer. It is the policy of the Research Foundation of CUNY to provide equal employment opportunities free of discrimination based on race, color, age, religion, sex, pregnancy, childbirth, national origin, disability, marital status, veteran status, sexual orientation, gender identity, genetic information, marital status, domestic violence victim status, arrest record, criminal conviction history, or any other protected characteristic under applicable law.