The EU-funded Horizon 2020 programme has two main strategic objectives: to strengthen the scientific and technological base of European industry and to encourage its international competitiveness, while promoting research that supports EU policies.
INSIGHTS is a 4-year Marie Sklodowska-Curie Innovative Training Networks project for the career development of 12 Early Stage Researchers (ESRs) at 10 partner institutions across Europe. One of the INSIGHTS research projects will be carried out at Pangea Formazione in Rome. INSIGHTS is focused on applying latest advances in statistics and, in particular, machine learning to particle physics.
The environment
Pangea Formazione is a Data Science company based in Rome, Italy. With a staff composed mainly by highly educated people (Ph.D. and experience in fundamental research), Pangea Formazione develops software solutions based on state-of-art statistical algorithms to solve problems in a business environment, supporting strategic decision making with quantitative tools and predictive instruments. In the past decade, Pangea Formazione has developed several software solutions in fields like predictive maintenance, fraudster management, marketing recommendation, capacity planning, risk management and scenario analysis, for clients including TIM, Poste Italiane, PosteMobile, PosteVita, DHL, MBDA, Gala and more.
Pangea Formazione also coordinates several training activities on the application of data analysis as a support for decision making, and on data mining and machine learning applications as a support to business intelligence.
When you're part of INSIGHTS with Pangea Formazione, you will join a company that values science, technology, creativity and quality. You will have the chance to have a direct experience of the work behind the development of statistical and artificial intelligence software as a support to improve business decisions and to optimize corporate processes. You will work together with a supportive team that includes data science experts with a broad experience in data analysis and its application in both academic and business applications.
INSIGHTS at Pangea Formazione will have one ESR position to carry out innovative applications on the following item:
- Machine learning techniques applied to new image and sound recognition applications, which will be employed for the optimisation of urban traffic control and for unmanned search and rescue vehicles. Image and sound recognition algorithms to analyze data streams from sensors are a very active research field with a broad range of applications from automated guidance systems to health monitoring smartphone apps.
The ESR will work on the development of a general framework for image and sound recognition, based on a low-level implementation of artificial intelligence algorithms.
Then, by combining Bayesian belief networks and Deep Learning neural networks, the ESR will contribute to the construction of a series of tools to recognize different categories of objects and sounds from sensor data, and to integrate the resulting information in planning and optimization tools.
A six months secondment at University of Edinburgh, working under the supervision of Dr. Faucci Giannelli, is foreseen for this project for the development of further tools for data analysis on experimental data from physics.
In addition to the scientific research and training, complementary training (such as communication and management) will enhance researchers' career prospects in both the public and private sectors.
How can you take part?
Do you have a degree in Mathematics, Statistics, Physics, Software Engineering or a similar discipline?
Do you have an analytical mindset and the ability to handle data and draw insights from them?
Do you have knowledge of advanced statistical concepts and techniques (regression, classification, clustering and so on)?
Do you have experience with software development?
Are you a highly organised person with independent, self-driven personality?
Do you have good communication skills, and good spoken and written English?
Follow the instructions below and send your application!
Role Description
The following ESR position is open: ESR08 - 36 months, employed by Pangea Formazione S.r.l. - No Ph.D. awarded.
Eligibility conditions ESRs must, at the time of recruitment: have a maximum of four years of full-time research experience, including any period of research training, after obtaining the degree which formally allowed them to embark on a doctorate in the country in which the degree/diploma was obtained or in the host country (irrespective of whether or not a doctorate was envisaged).
ESRs cannot be PhD holders at the start of their employment contract.
The European Commission's mobility rules state: At the time of recruitment by the host organisation, researchers must not have resided or carried out their main activity (work, studies, etc.) in the country of their host organisation for more than 12 months in the 3 years immediately prior to the reference date. Short stays such as holidays and/or compulsory national service are not taken into account.
Proficiency in English is required.
The following skills and expertise are appreciated, but not mandatory:
- Proficiency in either Python or R;
- Experience with computer vision software libraries;
- Knowledge of fundamental concepts of Neural Networks and Deep Learning;
- Knowledge of Italian language.
What We Offer
- Employment contract and salary according to the Marie Curie action
- In accordance with the European Commission's allowances for ITNs, there is an additional training allowance to cover training activities, conference attendance, etc.
Application Procedure
Apply online starting from February 4th, 2018!
Send your application before February 28th, 2018 to the address: Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo.
Applications must contain a covering letter in which applicants describe themselves and a selection of their past activities which are relevant for the job at Pangea Formazione. Applications must also include a CV, a copy of the applicant’s Master’s thesis (or a summary text if the thesis is not yet completed), contact details of at least two references, copies of grade certificates, and any other documents that the applicant wishes to refer to. Incomplete applications will not be considered.
Selection Procedure
(EDITED on 05/03/2018): Once applications have been collected, we will start the selection procedure.
- The first step will be an evaluation of the CVs of eligible candidates (including reference letters).
- The 3 or 4 candidates which receive the highest evaluation will be contacted for a Skype interview, in order to evaluate their motivations and their capabilities to carry out the research program planned in the context of the INSIGHTS project.
- The candidate who received the highest total evaluation at the end of the interviews will be contacted for starting the hiring procedure.
For additional information on this ESR position, please contact: Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo.
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