Research Fellow, 3D Live Imaging, and Morphological Quantification of Organoids
The Mechanobiology Institute (MBI), National University of Singapore is seeking to recruit a Research Fellow (RF) to join Assoc. Prof. Virgile Viasnoff’s group, in the framework of a collaborative project with academic partners from NTU and CNRS@CREATE. The project aims to develop a deep learning assisted approach to streamline the growth, 3D live imaging, and morphological quantification of organoids.
A key element of our approach are custom-made micro-optical devices. These devices enable a simplified and highly innovative scheme for light sheet microscopy which forms the technical core of this project. More information about our patented technology can be found in “3D high-and super-resolution imaging using single-objective SPIM” by Galland et al., Nature Methods, 2015, https://doi.org/10.1038/nmeth.3402.
The newly hired RF will be in charge of developing the micro-optical system integrated with the microscope platform. Another goal will be to conceive and implement strategies for scaling-up of the production throughput for such micro-devices. MBI provides a state-of-the-art core facility dedicated to micro/nano fabrication for biological applications which will fully support the micro-fabrication part of this project.
Please attach your full CV, with the names and contacts (including email addresses) of two character referees.
Salary and benefits are commensurable to educational qualifications and working experience of the candidates.
We regret that only shortlisted candidates will be notified.
- Design and fabrication of microfluidic and micro-optical devices
- Integration of the devices with microscopy set-up and biological protocols
- Investigate and implement massive production strategies for polymeric microfluidic chip
- Collaborate with other team members
- Write scientific papers
- A Ph.D in physics, materials science, engineering or related disciplines
- Excellent experience with micro-fabrication (lithography and Si micro-machining, polymers micro-molding), characterization techniques (e.g. SEM and optical microscopy) and clean room work is required
- Good Experience with CNC and micro-milling
- Good knowledge of simulation/modeling and programming software(s), such as Comsol, Matlab, etc.
- Documented experience in designing and optimizing microfluidic systems for biological studies is considered a desirable plus
- Familiarity with industrial-level production processes, such as injection molding
- Experience in imaging and cell culture is a plus
Location: Kent Ridge Campus
Department : Biological Sciences