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Full-time research logistician (M/F) in advanced bioimaging technologies and analysis for the imaging core facility

Department : Morph-Im technological platform
Grade : research logistician
Contract : fixed term contract
Category : scientific personnel
Allocation : University own funds
Reference : PV/CA738/2022-107/D

Responsabilities

The Morph-Im core facility (https://platforms.unamur.be/morph-im) is one of the nine technological platforms of Université de Namur and is dedicated to offer the state-of-the art in imaging technologies, both for life science and surface material applications. The platform gathers a wide variety of instruments, from Electronic Microscopy, Atomic Force Microscopy and Scanning Tunneling Microscopy to Confocal, High-resolution and TIRF/3D Microscopy. The platform is currently extending its instrument portfolio towards Lattice Light-Sheet Microscopy, Super-Resolution Microscopy and Nanoscopy, and high-throughput imaging technologies.

Your missions

The Morph-Im (Morphology & Imaging) technological platform is looking for a full-time research logistician (part-time permanent and part-time fixed-term) in advanced bioimaging technologies and bioimage analysis.

Within this platform, your missions will be:

Service:

• Management of advanced light microscopy tools of the facility: classical confocal, super resolution Airyscan confocal, azimuthal TIRF, STED, and lattice light-sheet microscopes. Supervision of equipment in collaboration with the technician of the facility and participation to: interaction with suppliers for maintenance, update of softwares, maintenance of servers for data storage, etc. ;

• Technology watch: Involvement in and support for the installation of new bioimaging technologies in the core facility in the future. Support for purchasing procedures for new equipment in collaboration with public market specialists of our university ;

• Contribution to the training of users on the various microscopes of the facility, in collaboration with the technician of the facility ;

• Supervision and training of users in the use of advanced home-made image processing scripts as well as existing softwares ;

• Providing advice, help and support in advanced bioimage analysis to the users of the facility, not only through the use of pre-existing tools present in open-access or commercial softwares, but also through the development of custom-made macros/scripts/plugins ;

• Working with facility users to write and implement algorithms to solve bioimage analysis problems from multidimensional microscopy data, improving existing workflows, validating newly developed tools, and training users to use these tools ;

• You will be encouraged to raise funds from public agencies or private partners and offer bio-imaging solutions to external customers.

Research:

• You will be required to gradually conduct your own research project, within the framework of the existing laboratories of the NARILIS institute of UNamur. Your prerogatives will be similar to those of other academic researchers, e.g. supervising master's theses, requests for personal scholarships, supervision of doctoral theses (from a career stage) ;

• You will be asked to continue to publish high quality articles in order to increase your visibility, necessary for your own grant applications ;

• You will be strongly encouraged to develop collaborations with computer specialists from the Faculty of Computer Science of UNamur, through the co-supervision of master or PhD theses, aiming at developing a local computing expertise for bioimage analysis (e.g. artificial intelligence tools).

Teaching:

• No teaching tasks are associated with the position. If you want to invest in some time in a teaching activity, it must be directly related to your expertise and remain an exception.

Profile

Diplomas

You hold:

• an engineer degree or a master degree in science, mathematics, computer science or another relevant discipline ;

AND a doctoral thesis during which you developed strong expertise in bioimage analysis and associated bioinformatics tools ;

• N.B. : Candidates who have not yet obtained the academic degree of Doctor can apply only if they are about to defend their doctoral thesis (at the latest within 4 months following the appointment).

Professional experience

At least 3-year professional experience in bioimage analysis, involving the treatment of large multi-dimensional image datasets (acquired during research activities).

Experience in biophysical approaches on living cells, such as atomic force microscopy, and experience in biochemistry/molecular biology tools are a plus.

Required Skills

You have:

Excellent knowledge and practice of advanced bioimaging technologies for fixed and live-cell imaging (e.g. high-speed confocal, spinning-disk, TIRF microscopy), and super-resolution imaging (e.g. Airyscan, SIM, STED nanoscopy, SMLM) ;

Excellent knowledge of experimental models used in mammalian cell biology ;

Excellent practical knowledge of softwares dedicated to image analysis and data visualization (e.g. Fiji/ImageJ, Icy, Imaris, Arivis, Napari…), statistical analyses (e.g. JMP, R…) and numerical computing (e.g. Matlab) ;

Excellent practical knowledge of programming languages associated with the aforementioned softwares (e.g. Fiji/ImageJ, Python, MATLAB, Java, C/C++…).

You have the following skills:

Ability to design scripted pipelines, using several image processing tools, to solve complex image processing problems ;

• Good IT abilities for big data manipulation and storage ;

• Ability to adapt to various experimental models, from non-biological to biological models (microorganisms, viruses, yeast, plant cells, worms, zebrafish, tissues/organs, spheroids/organoids). Creativity to help users of the facility to prepare and image difficult samples ;

Interdisciplinary spirit: willing to work and develop projects at the interface of disciplines, i.e. biology, bioinformatics/bioimage analysis, biophysics, materials and surface sciences ;

• Motivated to get trained in new bioimaging technologies and develop a local expertise, especially in STED nanoscopy and lattice light-sheet microscopy. If you do not have previous experience in those technologies, you must demonstrate a clear potential learn and manage them rapidly ;

• Eager and ready to travel abroad in order to acquire new expertise in advanced bioimage analysis tools and to participate to international bioimaging workshops ;

• Interest and potential to get involved in the development of new bioimage analysis tools using artificial intelligence (e.g. deep learning), in collaboration with the Faculty of Computer Science of UNamur ;

• Ability to adapt to new technologies susceptible to be installed in the facility in the future ;

Creativity: ability to develop new biocomputing protocols for local needs: segmentation algorithms, object detection, particle tracking, shape/surface recognition, colocalization analyses, etc. In particular, we expect from you to learn, adapt and develop biocomputing pipelines for the analysis of 4D bioimaging data, such as generated by lattice light-sheet microscopy ;

Multitasking abilities, excellent sense of priorities and organization, autonomy. You will have to manage several projects simultaneously: support in bioimage analysis for several facility users/projects + development of your own research project ;

Strong team spirit: you will work with other team members ;

Strong service spirit: you must appreciate to collaborate on the projects of other researchers ;

Excellent communication abilities: you must be proficient in English (oral and written).

Knowledge and skills in bold will be assessed during the recruitment process.

Advantages:

• Good practice of cell biology tools (cell culture, transfection, RNA interference, immunofluorescence…) ;

• Good practice of biochemistry/molecular biology tools (cloning, DNA and protein electrophoresis, Western blotting…).

Additional information

Concerning the recruitment and selection procedure: developpement.rh@unamur.be

For any other question, concerning the content of the function or its context : Prof. Charles Nicaise (charles.nicaise@unamur.be), Prof. Francesca Cecchet (francesca.cecchet@unamur.be) and Prof. Henri-François Renard (mailto:henri-francois.renard@unamur.be).

Contract : two-year fixed-term contract (100%)

Starting date : 1/10/2022

Remarks

You will be hired for a fixed-term contract of two years potentially renewable in whole or in part on a fixed-term contract and/or on a permanent contract.

The scales applied at the University of Namur can be viewed on our website : https://www.unamur.be/universite/jobs/baremes Our human resources management policy is based on respect for equal rights and equal treatment for all. This diversity is also articulated around different axes: gender, disability, origin, beliefs, age, sexual orientation, etc. The University of Namur is also a signatory of the diversity charter.

Selection methods

• Review of resumes

• Interview by the Recruitment and Selection Committee of the selected candidates

• Optional: job-specific skills test

• Interview by the Human Resources Department of classified candidates

How to apply

The application, consisting of a detailed curriculum vitae, a cover letter and the application form available via the following link : https://www.unamur.be/universite/jobs/formulaires/formulaire-de-candidature-pour-le-personnel-scientifique-francais-anglais/view, must be sent to Philippe LIZIN, Director of the Human Resources Department, by email at candidature@unamur.be for July, 3 2022 at the latest.