Algorithmist, AI/Machine-Learning SW engineer, Cyber-physical systems software designer

Mathematics and/or Informatics
Italy
Milan
Italy
Bergamo
Period: 
2 Jan, 2020 to 30 Jun, 2020
Deadline: 
30 Nov, 2019


General information

Duration: 
6 months
Commitment: 
Full-time
Description: 

We are looking for an algorithmist and SW developer to work together with our team in creating a multi-input data environment, addressed to IIOT and cyber-physical systems, unsupervised human-machine interactions, crypto-transactions (i.e. within MT4 / MQL4 code) and based on data-layers pre-processed by swarm-intelligence based processors and reasoners. The specific task will deal with building AI modules that reads/interprets data from IIOT sensors, industrial machines, and conversational agents in a hybrid eco-system (i.e. in robot-human (un-)supervised farm). The need is to provide appropriate output response (e.g. fast and reliable evaluations, functional feedback, decipher ยต-phenomena, etc.).

Compensation: 
Financial compensation
Reimbursement costs
Lunch vouchers
Years of Experience required: 
No

Keywords

artificial intelligence  algorithms  IIOT  machine learning  

Additional Information

The trainee will participate to design / prototype / test and validation phases at a direct contact with researchers, analysts and engineers belonging to real-world industrial environment, where IIOT based and cyber-physical systems operate systematically. The opportunity is huge to enter the real environment and apply skills and capacities directly in the context of complex / integrated hybrid human-machine ecosystems, learning from direct and concrete experience how to implement original / genuine AI modules. The trainee will be trained, mentored and supervised by senior people dealing with the subjects involved in the complex system where the original modules will be tested. Experts and researchers from universities will integrate further capacities (i.e. in NLP, science of networks applications, physics of complex systems, additive manufacturing; as well as principles of design and prototyping complex/integrated systems, process management, innovation strategies). The contextual residency of a continuos-refreshing group of highly innovative startups and fast growing SMEs, within the same place, will add stimuli and opportunity to the training period programme. The candidate should be confident with providing full source code with genetic algorithms, evolutionary / passing vehicle search, nature-inspired, real parameter optimization problems addressed to artificial robot colonies, programming AI interfaces, machine learning modules (including supervised and unsupervised learning), "cognitives", and metaheuristics.
Requirements
Languages: 
English: Proficient User C1
Italian: Independent User B2
Level of Studies: 
Master
Skills: 
Programming
Artificial Intellingence
complex systems designing and prototyping
NLP