Research Assistant II (Data Analysis & Lab Operations)

Hku Careers; Coimbra; On-site; EUR 24,000 - 36,000; Full time

Job summary

HKU invites applications for a Research Assistant II in the Laboratory of Biomedical Imaging and Signal Processing. The role focuses on data analysis alongside hands-on lab operations, supporting daily workflows and experimental tasks.

Ideal candidates have a Bachelor’s in a quantitative field and foundational skills in Python/MATLAB, signal and image processing. The position is full-time and based in Coimbra, with opportunities for growth within the HKU MRI Research Laboratory.

Qualifications

• Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Science, Physics, Life Sciences or related field.
• Foundational experience with Python, MATLAB, R or C++ for data analysis.
• Familiarity with signal processing or digital image manipulation.
• Strong organizational and collaborative skills in a fast-paced lab.

Responsibilities

• Routine data analysis and processing of signal and image data.
• Coordinate daily laboratory logistics and equipment usage.
• Maintain lab notebooks and internal data documentation.
• Provide ad-hoc technical and administrative support to lab staff.
• Assist in preparation and execution of ongoing experiments.

Skills

Python

MATLAB

R

C++

Signal processing

Image processing

Education

Bachelor's degree in Biomedical Engineering

Job description

Research Assistant II (Data Analysis & Lab Operations)

Ref.: 537356
Work type: Full-time
Department: Department of Electrical and Computer Engineering (14300)
Categories: Research Staff

Research Assistant II in theLaboratory 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 Responsibilites

1. 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.
• 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.
• 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.