Academic Recruiting

Research Fellowships & Assistantships

Invariant Lab is an independent research collective dedicated to advanced control theory, switched systems security, and machine learning architectures. We support structured research opportunities for scholars across undergraduate, graduate, and postdoctoral levels.

Academic Tracks Submission Guidelines ↓

Academic Rigor & Collaborative Science

Invariant Lab operates at the interface of theoretical engineering and applied automation. By eliminating traditional administrative barriers, we focus entirely on scholarly communication, peer-reviewed publications, and experimental verification.

Our senior members maintain professional and academic associations with esteemed global institutions, including the International University - Vietnam National University (IU-VNU HCMC), Seoul National University (SNU), the Catholic University of America (CUA), and the National Institutes of Health (NIH). We seek candidates committed to high academic standards and technical precision.

80+
Scholarly Papers
Q1
Journal Standard
100%
Project Funded
Collaborative Lab Environment

Academic Tracks & Opportunities

We offer structured developmental pathways and funded appointments for researchers at three distinct academic stages.

Undergraduate

Research Assistant

Foundation in Experimental Science

Designed for high-performing undergraduate students pursuing electrical engineering, computer science, or automation. Undergraduates participate directly in experimental setup validation, hardware integration, and preliminary publication drafting under senior supervision.

Research Scope:
  • PLC coding & automation testbed configuration
  • Sensory perception system calibration
  • Data collection and experimental logging
Development Goals:
  • Direct mentorship from doctoral researchers
  • Preparation for graduate school placement
  • Potential co-authorship on peer-reviewed papers

M.S. & Ph.D.

Research Candidate

Thesis-Driven Technical Breakthroughs

Designed for graduate students conducting formal thesis research. Candidates lead key scientific inquiries in physical-layer steganography, neural control systems, and computational optimization, supported by active laboratory grants.

Research Scope:
  • Switched system security and cryptography
  • Biomedical deep learning & optimization
  • IPMSM / VFD robust control architectures
Support & Benefits:
  • Graduate project support allocations
  • Fully-funded publication in Q1 journals
  • Access to international joint project resources

Postdoctoral

Research Fellow

Establish Independent Scientific Directions

For doctorate-level researchers with established records of peer-reviewed publication. Postdoctoral fellows drive autonomous R&D lines, co-advise graduate students, spearhead global academic collaborations, and manage major grant deliverables.

Research Scope:
  • Automated scientific discovery loops
  • Multi-institutional biomedical diagnostics
  • High-performance statistical architectures
Support & Benefits:
  • High research autonomy & team leadership
  • Joint publications with SNU, NIH, and CUA
  • Accelerated path to tenure-track faculty roles

Research Paradigm & Ecosystem

The structural advantages supporting advanced technical research at Invariant Lab.

Scholarly Autonomy

Our research paradigm bypasses heavy administrative tasks, allowing members to dedicate 100% of their bandwidth to experimental research, deep mathematical modeling, and scholarly publication.

Active Collaborations

Members collaborate actively on joint academic projects with leading faculty and researchers affiliated with global centers of excellence, including SNU, CUA, NIH, and IU-VNU HCMC.

Project Funding

All academic appointments are fully supported by private research sponsorships, Google Project Support, and targeted lab grants, providing stable, long-term funding with zero teaching loads.

Submission Guidelines

Prospective applicants are invited to submit their academic credentials and research statements directly to the Lab Chair, Dr. Ton That Long.

Please prepare the following academic materials:

  • Academic CV / Portfolio: A complete CV detailing your academic history, technical proficiencies, engineering projects, and a full list of publications (if any).
  • Statement of Research Intent: A 1-to-2 page scholarly summary detailing your technical background, specific research interests, and alignment with Invariant Lab's research pillars.
  • Transcripts: Unofficial academic transcripts (required for Undergraduate and Graduate level candidates).

Once your application materials are finalized, please email them directly to the Lab Chair:

Email materials to Lab Chair →
Primary Contact: ttlong@hcmiu.edu.vn (Dr. Ton That Long, Department of Electrical Engineering, IU-VNU HCMC)