CentraleSupélec Process Engineering Undergraduate Internship
Application deadline: February 5, 2020
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CentraleSupélec is an internationally renowned Higher Education and Research Institution. Its excellence lies in its combination of fundamental and applied sciences for innovation with societal impact.
The Process Engineering and Materials Laboratory (LGPM) is involved in two inextricably linked fields of investigation: Process Engineering and Materials. Modeling, simulation and experimentation are the key words in common between these different research subjects. This complementarity allows an understanding of microscopic phenomena to be used in the simulation, optimization, and intensification of transformation and development processes. Our expertise is, in particular, applied to sustainable aspects of processes (e.g., material and energy savings) and bio-processes (use of renewable resources). These fields have been strengthened with the introduction of a “white biotechnologies” center in 2010, which allows the laboratory to be present in the promising field of bio-economy.
Between 6/15/20 and 7/31/20
Up to $4,500
Grant recipients will be required to submit a three-page report within two weeks after their return.
Recipients for this internship must be enrolled at Stanford the quarter following the completion of the project for which they received funding. Thus, students who wish to pursue a fellowship the summer after their senior year may do so, but only if they apply for and receive permission from the University Registrar to enroll for a “graduation quarter” the following fall. More information on graduation quarters can be found here.
Internship in Microbial Growth Image Analysis. The Process Engineering and Materials Laboratory of Ecole CentraleSupélec conducts research on the analysis of microorganism growth. In recent years the LGPM has invested heavily in its imaging capacity with the acquisition of a confocal microscope, an axio-binocular microscope, x-ray tomography, and a scanning electron microscope. This investment has been accompanied by an expansion in the modeling capability of the Department. Despite great successes a problem that was quickly encountered is that of data treatment, which remains largely manual. The proposed internship is focused on data analysis and programming. During this internship, the student will work with a research engineer and expert in microscopy under the supervision of Professor Behnam Taidi. The student will be particularly involved in the analysis of microbial growth performed using image processing. It will involve modeling, including machine learning to predict the chances of growth of individual Chlorella vulgaris microalgae cells. Treatment of images obtained by confocal microscopy. The work will also involve treatment of images obtained by confocal microscopy, followed by code development and, if necessary, machine learning to determine a way to predict the chances of growth of individual cell in a population from images obtained by microscopy. A first stage has provided promising results that upon completion could lead to a scientific publication.
Gif sur Yvette, France (15 miles from Paris, less than one hour via public transportation)
Undergraduate students (Freshman/Sophomore/Junior/Senior)
English is spoken in the lab. French is helpful, but not required.
This internship is open to undergraduate students at any level (Freshman to Senior level). The work will be adjusted depending on the background and the interest of the student. The internship topic is particularly well suited for students with experience in microbiology, microscopy, image handling and data analysis. It is possible that time-lapse videos of growth of micro-colonies would be made, in which case all the skills mentioned will be put to use. Above all, it is the interest and enthusiasm of the student that will move the project forward.
Applicants should submit the following documents:
- Application form
- Itemized budget
- Letter to be addressed to the France-Stanford Center Director describing your research interests and why you are applying for the position. Please explain the nature of your background and skills in microbiology, microscopy, image handling and/or data analysis. Where and how did you acquire the relevant training? Are there particular courses you took, particular research projects you pursued, etc.? (1 page, ~ 800 words)
- Recommendation letter from the applicant’s advisor, discussing the applicant and the merits of the proposed visit (1 page). Request this recommendation on your application form
- Applicant’s resume (1 page)
- Unofficial Stanford transcript
Isabelle Collignon, firstname.lastname@example.org