Job Information
- Organisation/Company
- Université Gustave Eiffel
- Department
- UMR MCD
- Research Field
- Engineering » Civil engineering
- Researcher Profile
- First Stage Researcher (R1)
- Country
- France
- Application Deadline
- Type of Contract
- Temporary
- Job Status
- Full-time
- Hours Per Week
- 35
- Offer Starting Date
- Is the job funded through the EU Research Framework Programme?
- Not funded by an EU programme
- Reference Number
- EG. 8002464
- Is the Job related to staff position within a Research Infrastructure?
- No
Offer Description
The PhD candidate will develop alternative materials based low-carbon formulation of concrete with the help of artificial intelligence. The objectives will be to :
- have available database of the performances of conventional mortars and concretes and those based on alternative materials according to the formulation;
- develop mix-design modelling and artificial intelligence methods (multivariate regression methods, deep learning...) and allowing to predict (1) the performance of the material from a formulation (direct problem) and (2) the formulation according to the specifications (inverse problem).
Requirements
- Research Field
- Engineering
- Education Level
- Master Degree or equivalent
The applicant should have a 1st class (or high) honours degree in civil engineering or related subjects of physico-chemical engineering with relevant experimental experience. Also, the applicant must have or be currently enrolled in a Master 2 degree with distinction or equivalent, in a relevant field (i.e., construction materials, geomaterials, or mechanics of durability of materials).
The applicant should be able to demonstrate a strong background in literature research and advanced laboratory testing of (geo)materials for construction. Since the PhD candidate will be working in interdisciplinary environment, the ability to work in a team and strong communication are essential. Working experience in numerical analysis, particularly proficiency in a programming language (e.g., Python), and interest in digital tools, are highly desirable ; the PhD work will allow an upskilling in artificial intelligence.
For analysing literature research and writing articles, excellent knowledge of Engish is essential. For practical reasons basic (or good) knowledge of French language is desirable.
- Languages
- ENGLISH
- Level
- Excellent
- Research Field
- Engineering
Additional Information
The application document must include 1) a detailed academic CV that includes at least two references where recommendations will be sought to, 2) a one-page handwritten letter of motivation stating how your interests and experience relate to the project, 3) scanned copies of the Bachelor’s and Master’s degree certificates and academic transcripts, all compiled in a single PDF file. Shortlisted candidates will be contacted for an interview, if you have not heard back by the end of march 2024, you should assume your application was unsuccessful.
Starting this research project with an Intership (M2 level) is desirable but not compulsory.
- Website for additional job details
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- Université Gustave Eiffel
- Country
- France
- State/Province
- Ile de France
- City
- Champs-sur-Marne
- Postal Code
- 77420
- Street
- 14 boulevard Newton
- Geofield
Where to apply
- teddy.fen-chong@univ-eiffel.fr
Contact
- State/Province
- Ile de France
- City
- Marne-La-Vallée
- Website
- Street
- 5, Boulevard Descartes
- Postal Code
- 77454
- teddy.fen-chong@univ-eiffel.fr