Ors - Operations Research Specialist
The employee will deal with analysis and development of models and algorithms for Operations Research and Machine Learning, including management support of projects involving national and foreign clients.
Place of work: Bologna.
Main activities:
Analysis of the client's optimisation problem and modelling of hypothetical solutions (feasibility analysis and prototyping). Writing models and/or algorithms according to the chosen strategy. Client support for deployment of Optit's solution (collecting, validating, and entering data; training and coaching key users). Providing optimisation consulting based on Optit's solutions. Support during solution development, testing, and fine-tuning. Profile PhD in Operations Research, obtained from an Italian or foreign universities.
Candidates with relevant work or academic experience may be taken into consideration if they have a five-year degree in one of the following: Engineering, Statistical Sciences, Physics, Mathematics, Economics, or another scientific discipline with a final grade over 100/110, if the thesis and exams are in fields similar to Operations Research.
Andrea Bettinelli will be your advisor. "The application of sophisticated models to real-life problems is a challenge that requires a huge dose of creativity. "
Requirements Advanced knowledge of Decision Support Systems and the field of Operations Research. Excellent English proficiency (Experience abroad preferred). Ability to use IT solutions and professional solvers (even if only at the academic level). Availability for domestic and foreign travel when necessary. What we offer: At Optit, we believe in the value of each person, which is why we are committed to investing in the development of each person's potential through immersion in different projects, with highly qualifying activities that allow for the growth and updating of one's professional skills. We leave open the paths for growth in the company because everyone is different and opportunities may vary depending on interests and skills acquired. We strive for everyone to find their own work-life balance so that work is not only "smart" but also "wellbeing. " We believe that although technologies have shortened the distance between us, it is important that the team can also find each other in our offices, to encourage the contamination of ideas and sharing of knowledge.
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