Research Assistant II (Data Analysis & Lab Operations)

The University of Hong Kong; Hong Kong; Sur place; HKD 279 000 - 357 000; Plein temps

Avantages offerts par ce poste

Hands-on research exposure

Mentorship-driven environment

Competitive salary

Résumé du poste

The University of Hong Kong's Lab of Biomedical Imaging and Signal Processing (BISP Lab – HKU MRI Research Laboratory) invites a Research Assistant II to support data analysis and experimental workflows in a dynamic research setting. You will work with postdocs and students to ensure smooth daily operations and robust pipelines for signal and image processing.

A Bachelor’s degree in a quantitative field is required.

Qualifications

• Bachelor’s degree in a quantitative/scientific discipline (Biomedical Engineering, Electrical Engineering, Computer Science, Physics, Life Sciences, or related).
• No working experience required.
• Foundational experience with programming languages or software relevant to data analysis and processing (Python, C++, MATLAB, R, or equivalent).
• Familiarity with basic signal processing concepts or digital image manipulation.

Responsabilités

• Routine data analysis and processing.
• Execute and streamline data analysis pipelines for signal and image tasks.
• Assist lab members in data curation, quality control, and preparing datasets for statistics.
• Maintain code repositories or scripts used for standard data pipelines (MATLAB, Python, imaging software).
• Coordinate daily laboratory logistics, equipment usage, and shared resources.
• Assist in preparation, execution, and breakdown of experiments with senior team members.
• Maintain clean, compliant lab workstations following safety protocols.
• Provide ad-hoc technical and administrative support to lab personnel.
• Maintain accurate experimental logs and internal data documentation.

Connaissances

Python

C++

MATLAB

R

Signal processing

Image processing

Team collaboration

Formation

Bachelor's degree (Biomedical Engineering, Electrical Engineering, Computer Science, Physics, Life Sciences)

Outils

MATLAB

Python

R

Description du poste

Research Assistant II in the Laboratory of Biomedical Imaging and Signal Processing (BISP Lab — HKU MRI Research Laboratory) of the Department of Electrical and Computer Engineering (Ref.:537356）(to commence as soon as possible, on a one-year full-time basis, with the possibility of renewal subject to satisfactory performance.)

About The Position

The Laboratory of Biomedical Imaging and Signal Processing in the Faculty of Engineering is seeking a versatile, proactive, and motivated Research Assistant to join the scientific research team. This position is ideal for an early-career researcher or technical specialist who enjoys a dynamic workload, balancing foundational data analysis with hands‑on experimental support.

You will work closely with laboratory members, postdocs, and graduate students to facilitate daily research workflows, handle routine signal and image processing pipelines, and ensure experimental logistics run seamlessly.

Key Responsibilities

• Routine Data Analysis & Processing
• Execute and streamline routine data analysis pipelines, specifically focusing on signal and image processing tasks.
• Assist lab members in data curation, quality control, and preparing datasets for statistical evaluation.
• Help maintain code repositories or scripts (e.g., in MATLAB, Python, or specialized imaging software) used for standard laboratory data pipelines.
• Experimental Logistics & Support
• Coordinate daily laboratory logistics, including scheduling equipment usage, setting up experimental areas, and managing shared research resources.
• Assist in the preparation, execution, and breakdown of ongoing scientific experiments alongside senior team members.
• Maintain clean, organized, and compliant laboratory workstations in accordance with safety protocols.
• Miscellaneous Team Assistance
• Provide ad-hoc technical and administrative support to laboratory personnel as unique project needs arise.
• Help maintain accurate experimental logs, lab notebooks, and internal data documentation.

Qualifications & Skills

Education: A Bachelor’s degree in Biomedical Engineering, Electrical Engineering, Computer Science, Physics, Life Sciences, or a closely related quantitative/scientific discipline. No working experience required

Skills

• Technical Skills:
  • Foundational experience with programming languages or software relevant to data analysis and processing (Python, C++, MATLAB, R, or equivalent).
  • Familiarity with basic signal processing concepts or digital image manipulation.
• Core Competencies: Strong organizational habits, a collaborative team-first mindset, and the ability to adapt to varying daily tasks in a fast-paced research environment.

What We Offer

• Hands‑on exposure to advanced research methodologies and state‑of‑the‑art laboratory instrumentation.
• A supportive, mentorship-driven environment ideal for developing technical skills in data science and experimental execution.
• Competitive salary commensurate with qualifications and institutional frameworks.

Review of applications will commence as soon as possible and continue until 30 November 2026, or until the post is filled, whichever is earlier.