Contract type : Fixed-term contract
Level of qualifications required : PhD or equivalent
Fonction : Post-Doctoral Research Visit
About the research centre or Inria department
The Inria centre at Université Côte d'Azur includes 37 research teams and 8 support services. The centre's staff (about 500 people) is made up of scientists of diﬀerent nationalities, engineers, technicians and administrative staff. The teams are mainly located on the university campuses of Sophia Antipolis and Nice as well as Montpellier, in close collaboration with research and higher education laboratories and establishments (Université Côte d'Azur, CNRS, INRAE, INSERM ...), but also with the regiona economic players.
With a presence in the fields of computational neuroscience and biology, data science and modeling, software engineering and certification, as well as collaborative robotics, the Inria Centre at Université Côte d'Azur is a major player in terms of scientific excellence through its results and collaborations at both European and international levels.
Every year Inria International Relations Department has a few postdoctoral positions in order to support Inria international collaborations.
This year, postdoctoral positions within the frame of Inria London, Inria Brasil and Inria Chile programs and to strengthen partnerships with Simula (Norway), University of Waterloo (Canada) and KAIST and ETRI (South Korea) are eligible.
The postdoc contract will have a duration of 12 to 24 months. The default start date is November 1st, 2023 and not later than January, 1st 2024. The postdoctoral fellow will be recruited by one of the Inria Centers in France but it is recommended that the time is shared between France and the partner’s country (please note that the postdoctoral fellow has to start his/her contract being in France and that the visits have to respect Inria rules for missions)
The postdoc position within the framework of a partnership
- collaboration between the Zenith team and CEFET, Rio de Janeiro, in the context of the HPDASC Inria associated team in the Inria-Brasil partnership
- see https://team.inria.fr/zenith/hpdasc
Is regular travel foreseen for this post ?
One trip a year from Zenith, France, to CEFET, Brasil (travel expenses will be covered within the limits of the two teams' budgets)
The recruited person will be assigned to the following project.
Multivariate time series refers to a type of data that consists of multiple time series variables observed simultaneously over time. In other words, it consists of a set of observations over time such that each observation has multiple variables measured at the same time. This type of time series can arise in several application domains, such as medical monitoring, environmental sciences such as climate modeling, traffic flow prediction, finance, etc. One of the main challenges in analyzing multivariate time series data is the complexity of the data structure, as there can be many variables that interact with each other in complicated ways over time. This can make it difficult to identify patterns and relationships within the data, as well as to develop accurate prediction models. Anomalies in time series data are defined as patterns that do not conform to the expected behavior of the underlying application. The objective of this research direction is to find unusual events or behaviors in multivariate time series data. It can be useful, for example, to identify abnormal biodiversity phenomena, unusual changes in vegetation or animal populations, or anomalies in climate data. There are several existing methods for multivariate time series anomaly detection, including statistical methods like PCA and ARIMA, e.g., the well-known Matrix Profile problem. However, current MP tools cannot scale to very large time series databases.
For a better knowledge of the proposed research subject :
See all information about the research in Zenith here: https://team.inria.fr/zenith/ and in the HPDASC project here: https://team.inria.fr/zenith/hpdasc/
The recruited person will be in connection with Prof. Esther Pacitti, Dr. Reza Akbarinia, Dr Florent Masseglia (Zenith team, Inria) and Prof. Eduardo Ogasawara (CEFET, Rio de Janeiro)
The person recruited is responsible for **** and will take initiatives for ****..
The person recruited will be in charge of designing and implementing solutions to Multivariate Time Series Anomaly Detection.
Main activities :
1. Propose new parallel Matrix Profile techniques based on massive distribution to enable anomaly detection from very large multivariate time series datasets.
2. Design an experimental platform to implement theses techniques based on the Spark framework.
3. Validate experimentally the proposed techniques using real datasets.
4. Write research papers and publish in top venues.
5. Present the results to the two teams and in international events.
The postdoc candidate should have a recent PhD in data science and the following skills:
- Strong background in time series data analytics
- Excellent research capabilities, as demonstrated by top research publications
- Strong programming skills (Java, Scala, Python, R, C++, …) with modern data analytics frameworks such as Spark
- Fluent English (written and spoken)
- Subsidized meals
- Partial reimbursement of public transport costs
- Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
- Possibility of teleworking and flexible organization of working hours
- Professional equipment available (videoconferencing, loan of computer equipment, etc.)
- Social, cultural and sports events and activities
- Access to vocational training
- Contribution to mutual insurance (subject to conditions)
Gross Salary: 2746 € per month
- Theme/Domain :
Data and Knowledge Representation and Processing
Statistics (Big data) (BAP E)
- Town/city : Montpellier
- Inria Center : Centre Inria d'Université Côte d'Azur
- Starting date : 2023-12-01
- Duration of contract : 2 years
- Deadline to apply : 2023-06-15
- Inria Team : ZENITH (DPEI)
Valduriez Patrick / Patrick.Valduriez@inria.fr
The keys to success
There you can provide a "broad outline" of the collaborator you are looking for what you consider to be necessary and sufficient, and which may combine :
- tastes and appetencies,
- area of excellence,
- personality or character traits,
- cross-disciplinary knowledge and expertise...
This section enables the more formal list of skills to be completed and 'lightened' (reduced) :
- "Essential qualities in order to fulfil this assignment are feeling at ease in an environment of scientific dynamics and wanting to learn and listen."
- " Passionate about innovation, with expertise in Ruby on Rails development and strong influencing skills. A thesis in the field of **** is a real asset."
Inria is the French national research institute dedicated to digital science and technology. It employs 2,600 people. Its 200 agile project teams, generally run jointly with academic partners, include more than 3,500 scientists and engineers working to meet the challenges of digital technology, often at the interface with other disciplines. The Institute also employs numerous talents in over forty different professions. 900 research support staff contribute to the preparation and development of scientific and entrepreneurial projects that have a worldwide impact.
Instruction to apply
Defence Security :
This position is likely to be situated in a restricted area (ZRR), as defined in Decree No. 2011-1425 relating to the protection of national scientific and technical potential (PPST).Authorisation to enter an area is granted by the director of the unit, following a favourable Ministerial decision, as defined in the decree of 3 July 2012 relating to the PPST. An unfavourable Ministerial decision in respect of a position situated in a ZRR would result in the cancellation of the appointment.
Recruitment Policy :
As part of its diversity policy, all Inria positions are accessible to people with disabilities.
Warning : you must enter your e-mail address in order to save your application to Inria. Applications must be submitted online on the Inria website. Processing of applications sent from other channels is not guaranteed.