Postdoctoral Associate-Systems Engineering

Stevens Institute of Technology; Hoboken (NJ); On-site; USD 65,000 - 75,000; Full time

Job summary

Stevens Institute of Technology in Hoboken, NJ is seeking a Postdoctoral Associate for its Laboratory for Intelligent Integrated Networks of Engineering Systems. The ideal candidate will focus on the socio-technical potential of transactive energy communities, applying expertise in machine learning and predictive maintenance.

Responsibilities include designing systems, leading research phases, and mentoring junior staff. The annual base salary ranges from $65,000 to $75,000, with a comprehensive benefits package.

Qualifications

• PhD in systems/mechanical/electrical engineering or a related field.
• Strong background in hardware development and practical implementation.
• In-depth theoretical knowledge of data‑driven algorithm development.

Responsibilities

• Design and develop instrumentation and actuation systems.
• Lead the socio‑technical energy behavior prediction phase.
• Perform research applying data‑driven algorithms to practical problems.
• Collaborate with interdisciplinary research groups.
• Mentor junior researchers.

Skills

Machine learning

Predictive maintenance

Control algorithms

Proficient coding skills

Organizational skills

Presentation abilities

Education

PhD in systems/mechanical/electrical engineering

Job description

Job Description

POSTDOCTORAL ASSOCIATE, Systems Engineering, to join the Laboratory for Intelligent Integrated Networks of Engineering Systems (LIINES). The LIINES is devoted to the sustainable and resilient transformation of intelligent multi‑energy engineering systems. The focus of this project includes assessing the socio‑technical potential for transactive energy communities. Candidates with expertise in machine learning, predictive maintenance and control algorithms who are enthusiastic about applying data‑driven techniques to mechatronic system hardware are encouraged to apply.

Responsibilities

• Design and develop instrumentation, communication, and actuation systems, including refining those systems.
• Lead the socio‑technical energy behavior prediction phase of the project.
• Perform independent research applying data‑driven algorithms to solve practical problems.
• Collaborate with internal and external interdisciplinary research groups.
• Mentor junior researchers and coordinate research tasks.

Qualifications

• PhD in systems/mechanical/electrical engineering or a related field with a strong background in hardware development and practical implementation.
• In‑depth theoretical knowledge of data‑driven algorithm development and control theory.
• Proficient coding skills for implementing efficient algorithms across various architectures.
• Experience with predictive maintenance, including prior publication or project experience.
• Hands‑on experience implementing algorithms on resource‑constrained mechatronic hardware platforms.
• Strong organizational and planning skills; proficient writing and presentation abilities; capacity to work in a diverse, multi‑group environment.

Compensation

In compliance with the New Jersey Wage Transparency Act, the annual base range for this position is $65,000 – $75,000. This range represents the university’s estimate of possible compensation at the time of posting. The final salary will be set based on the position’s scope, the candidate’s qualifications, and departmental budget considerations.

Benefits

Base pay only is included in the stated range. For a full overview of benefits, please refer to the Stevens Institute of Technology Benefits Guidebook.

EEO Statement

Stevens Institute of Technology is an Equal Opportunity Employer. Accordingly, Stevens adheres to an employment policy that prohibits discriminatory practices or harassment against candidates or employees based on legally impermissible factors, including race, color, religion, creed, sex, national origin, nationality, citizenship status, age, ancestry, marital or domestic partnership status, psychiatric or pregnancy‐related medical conditions, disability, or any protected military status. Stevens seeks candidates who will contribute to a welcoming and inclusive environment for all students, faculty, and staff.

Jeanne Clery Disclosure

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