Post-Doctoral position “Physics-informed machine learning”
at Istituto Italiano di Tecnologia
Genova, Liguria, Italy -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 19 Jan, 2025 | Not Specified | 20 Oct, 2024 | 6 year(s) or above | Data Security,Applied Mathematics,Partial Differential Equations,Articles,Physics,Computer Science,English,Machine Learning,Communication Skills,Modeling,International Environment,Biological Systems,Chemistry,Protection,Creativity | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
ABOUT US
At IIT we work enthusiastically to develop human-centered Science and Technology to tackle some of the most pressing societal challenges of our times and transfer these technologies to the production system and society. Our Genoa headquarters are strictly interconnected with the other 11 centers around Italy and two outstations based in the US. We promote excellence in basic and applied research such as neuroscience and cognition, humanoid technologies and robotics, nanotechnology, materials for a truly multidisciplinary scientific experience.
ESSENTIAL REQUIREMENTS
- A PhD in Physics, Engineering, Computer Science, Applied Mathematics, Chemistry, and similar disciplines
- Documented experience in machine learning and or biophysical modeling
- Strong publication record
- Ability to properly report, organize and publish research data
- Documented experience in coaching junior scientists
- Good command of spoken and written English
- Proven programming capabilities
ADDITIONAL SKILLS
- Experience in the mathematical solution of partial differential equations, FEM and similar methods;
- Knowledge of modeling of biological systems at the molecular level
- Good communication skills
- Strong problem-solving attitude
- High motivation to learn
- Spirit of innovation and creativity
- Good at time and priority management
- Ability to work in a challenging and international environment
- Ability to work independently and collaboratively in a highly interdisciplinary environment
PLEASE SUBMIT YOUR APPLICATION USING THE ONLINE FORM AND INCLUDING A DETAILED CV, UNIVERSITY TRANSCRIPTS, COVER LETTER (OUTLINING MOTIVATION, EXPERIENCE AND QUALIFICATIONS) AND CONTACT DETAILS OF 2 REFERENCES.
Application’s deadline: November 3rd, 2024
The Selection processes will be managed in compliance with the provisions established in Article 7 of the Funding Decree 1053 del 23.06.2022
We inform you that the information you provide will be used solely for the purposes of evaluating and selecting professional profiles in order to meet the requirements of Istituto Italiano di Tecnologia.
Your data will be processed by Istituto Italiano di Tecnologia, based in Genoa, Via Morego 30, acting as Data Controller, in compliance with the rules on protection of personal data, including those related to data security.
Please also note that, pursuant to articles 15 et. seq. of European Regulation no. 679/2016 (General Data Protection Regulation), you may exercise your rights at any time by contacting the Data Protection Officer (phone Tel: +39 010 28961 - email: dpo@iit.it - kindly note that this e-mail address is exclusively reserved for handling data protection issues. Please, do not use this e-mail address to send any document and/or request of information about this opening).
Primary Location GENOVA ERZELLI
Job Postdoc
Organization Computational mOdelling of NanosCalE and bioPhysical sysTems
Job Posting Oct 3, 2024, 1:45:02 A
Responsibilities:
- Identify a set of potentially useful machine learning approaches to reach the given goal
- Perform a feasibility study to estimate which could be the most effective one;
- Collaborate with the already ongoing effort to implement this approach
REQUIREMENT SUMMARY
Min:6.0Max:13.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Phd
Proficient
1
Genova, Liguria, Italy