The STATOR project may accept as interns :
- Masters students, e.g. "Research masters" (French M2R).
- Graduate students pursuing PhDs in other groups.
- Highly performant undergraduate students.
Internships may range from engineering (e.g. implementing new front-ends or GUIs) to research.
Applications should be directed to Dr David Monniaux, principal investigator of the project.
The application should include:
- A clear explanation of the context of the internship (for which diploma pursued at which university; possibly, the name of the academic who suggested the STATOR project).
- A CV. Please note that the usual CVs meant for corporate hiring processes may be insufficient; see below.
- Motivations articulated according to the goals of the STATOR project (generic motivations, which could apply to any research or engineering area, are insufficient).
It is expected that interns pursue a degree in computer science (or perhaps mathematics), speak English or French, and demonstrate proficiency in the domains needed for the particular internship topic. These are required, not sufficient conditions.
Please check that your profile fits the topics of the STATOR project. We receive many applications from students who focus on networks, VLSI design, artificial intelligence — topics that we do not study inside this project; off-topic applications are rejected.
Our academic staff speaks French or English and possibly other languages. Speaking French is not necessary for scientific purposes, though it may help in daily life (we have staff who do speak French).
Most students applying for internships send CV or résumés meant for corporate recruiters. Typically, they are short (2 pages), include very little details as to the topics that have been studies, and list the hobbies or extracurricular activities of the applicant. Such CVs are inadequate for academic pursuits.
Scientific research has prerequisites; for instance, research on satisfiability modulo theory presupposes knowledge on mathematical logic, linear programming (including convex duality properties), and efficient implementation techniques. Some of such knowledge may be acquired during the internship, but, given the short duration of typical internships, it is desirable that as much as possible has already been learned through preceding classes.
Thus, we expect that the CV contain a list of subjects studied in the university. Please be specific as to the content of classes: an identification number such as INF423 tells us nothing, "algorithmics" is a very broad term; "algorithmics (sorting, dynamic programming, graph traversals)" is much more specific and informative.
If you have done other internships, please list them, including the name of the company or research group, the name of the supervisor and the topic. If you have written a report (or, perhaps, a scientific article), please attach it.
Please keep in mind that we do not necessarily know your university, or even the way the university system works in your country. Please be specific and explain all grading issues (e.g. some countries grade from 0 to 20 upwards, others from A to E downwards, etc.), all terms that could be unfamiliar to us, including acronyms, etc. Please mind that we may contact academics knowledgeable about your country (or even originating from it) and that lies or exaggerations are likely to be detected.
Dates and duration
Please give us an interval for starting and ending dates.
Please keep in mind that academic staff in our group will typically be on vacation between Christmas and New Years Day, and some weeks in August. Additionally, we may be teaching, or attending scientific conferences, or going to meetings.
Getting to know a topic takes some time. Certain universities expect their students to take short internships, e.g. 6 weeks; this is insufficient for getting to know a new topic and doing something interesting about it. We thus tend to prefer longer internships (at least 3 months).
The internship will take place at VERIMAG, located near Grenoble, in southeastern France.
Unless the intern is supported by other means (e.g. salary, grant, bourse, etc.), he or she will receive a stipend from the university (approximately 435€ per month).