Theoretical AI/ML Scientist - Italia - NLP PEOPLE

Descrizione

VACANCY NOTICE

Theoretical AI/ML Scientist

Primary Location: Italy-La Spezia

NATO Body: Centre for Maritime Research and Experimentation (CMRE)

Schedule: Full-time

Application Deadline: 03 April 2024

Salary (Pay Basis): 4,631.07 EUR (Monthly)

Grade NATO SSS Grade G11 (ABCL A1)

Clearance Level NS

Appointment will be subject to receipt of a NATO SECRET security clearance (provided by the national Authorities of the selected candidate) and approval of the candidate's medical file by the CMRE Medical Adviser.

Are you a professional with a strong background in signal processing, statistical analysis, probability theory? Do you have proficiency in programming languages such as MATLAB or Python/R for scientific programming and prototyping? Do you enjoy working in a challenging international environment? If so, CMRE is looking for you

• POST CONTEXT

This is a position within the Centre for Maritime Research and Experimentation (CMRE), an organization of the North Atlantic... Treaty Organization (NATO).

CMRE is an established, world-class scientific research and experimentation facility that organizes and conducts scientific research and technology development, centred on the maritime domain, delivering innovative and field tested Science & Technology (S&T) solutions to address defence and security needs of the Alliance.

The position is within the Research Division (RD) which is responsible for identifying, developing and delivering Science & Technology (S&T) solutions to the needs of the Alliance in the maritime domain.

The Division leads the development of CMRE's scientific strategy and through its capability in ocean sensing, numerical modelling, big data analytics, artificial intelligence (AI), data fusion, signal processing, and autonomy, delivers the Centre's S&T goals while maintaining CMRE's reputation within the scientific community.

The Research Division is organized around the five programmes below:

1. Antisubmarine Warfare (ASW)

2. Climate Change and Security (CCAS)

3. Data & Environmental Knowledge and Operational Effectiveness (D-EKOE)

4. Maritime Unmanned Systems Enablers (MUSE)

5. Mine Countermeasures (MCM)

This position is within the Data Knowledge and Operational Effectiveness (DKOE) team and contributes to DKOE programme of work.

• PRINCIPAL DUTIES

We are seeking a talented Theoretical AI/ML research scientist to join our team in the Research Department at CMRE. This role requires a strong research background and expertise in statistical learning, statistical signal processing, data fusion and machine learning fields. As a scientist, you will be tasked with developing and implementing cutting-edge techniques at the boundary between machine learning and statistical modelling to solve complex problems using extensive datasets comprising time varying and heterogeneous surveillance information. Your primary responsibilities will include developing novel algorithms and models, extracting valuable insights, and providing actionable recommendations to support CMRE's research objectives.

Detailed duties:

• Support the DKOE programme of work in the investigation and development of innovative and cutting edge scientific research ideas in the area of Statistical Learning, Machine Learning, Signal Processing and Information Fusion.

• Develop Explainable AI for model interpretation and human-machine teaming approaches.

• Develop and implement advanced and novel algorithms and models to combine, fuse, synthesize and classify heterogeneous sensor/surveillance/geospatial/contextual data.

• Develop rigorous mathematical understanding/interpretation of the developed algorithms (such as machine learning /signal processing) and their performance.

• Collaborate with researchers and domain experts to identify research questions and design experiments to address them.

• Stay updated with the latest advancements in statistical learning and signal processing, machine learning, target tracking, data fusion and related fields, and apply relevant methodologies to research projects.

• Participate in interdisciplinary research teams and contribute to research proposals and publications, both internal (CMRE reports) and external (peer-reviewed scientific publications).

• Present research findings at conferences, workshops, and internal meetings.

• Work closely as required with projects outside of the DKOE Programme.

• Support the organization and execution of NATO workshops and conferences; the establishment of Multi-National Projects; the development of proposals for external funding beyond ACT, seeking and winning funding from National Naval R&D funding agencies, National or NATO Multi-National projects, or from European funding mechanisms.

3. SPECIAL REQUIREMENTS AND ADDITIONAL DUTIES

a. Flexibility Clause

The incumbent may be required to perform other related duties as directed.

All other related duties should correspond with the required competencies for the job.

b. Deployment/Travel

The incumbent may be required to perform his/her duties onboard Centre or chartered vessels. The incumbent may be required to undertake TDY assignments within and outside NATO boundaries.

4. ESSENTIAL QUALIFICATIONS

a. Professional/Experience

• Excellent background in theoretical machine learning.

• Strong background in signal processing, statistical analysis, probability theory.

• Solid understanding of research methodologies and experimental design.

• Excellent problem-solving and analytical skills, with the ability to work with heterogeneous and time-varying sources of data.

• Proficiency in programming languages such as MATLAB or Python/R for scientific programming and prototyping.

• Strong attention to detail and commitment to delivering high-quality results.

• Passion for research and innovation in data science and its application to real-world problems.

b. Education/Training

• MSc in Engineering, Computer Science, Statistics, Mathematics, or a related field and at least 2 years post-MSc experience with a focus on machine learning and signal processing.

Or

• Ph.D. in Engineering, Computer Science, Statistics, Mathematics, or a related field with a focus on Statistical Learning and/or Machine Learning and/or Signal Processing and/or Information Fusion.

c. Language Requirements

A thorough knowledge of one of the two NATO languages (English and French), both written and spoken, is essential and some knowledge of the other is desirable.

English SLP 3333

NOTE: Most of the work of CMRE is conducted in the English language.

5. DESIRABLE QUALIFICATIONS

• A Ph.D. in the field of Statistical Learning, Machine Learning, Signal Processing, Information Fusion, or a related subject.

• Knowledge of machine learning methods such as Deep/Adversarial/Recurrent/Generative neural networks.

• Experience with machine learning libraries and frameworks (e.g., TensorFlow, scikit-learn, PyTorch) for model development and deployment.

• Experience with high-dimensional statistics.

• Publication record in peer-reviewed conferences or journals.

• Experience working in multi-disciplinary and international environments.

6. Attributes/Competencies

The successful candidate possess the following competencies / personal attributes:

• Excellent communication skills, both oral and written – able to communicate at all levels;

• Very good interpersonal skills. Solicits inputs and encourages others;

• Innovative and driven. Always displaying sound judgement;

• Excellent time management and organizational skills.

All CMRE personnel are expected to conduct themselves in accordance with the current NATO Code of Conduct agreed by the North Atlantic Council (NAC), and thus display the core values of integrity, impartiality, loyalty, accountability, and professionalism.

7. REMARKS

The duties are mostly performed in an office environment, but staff may be required to work onboard a vessel.

___________________________

About Us:

The Centre for Maritime Research and Experimentation (CMRE) is part of the NATO Science and Technology Organization (STO). The mission of the STO is to help position both national and NATO science and technology investments as a strategic enabler and technology advantage for the defence and security posture of NATO Allies and partners. The Centre conducts scientific research and technology development and delivers innovative field-tested S&T solutions to address the defence and security needs of the Alliance. CMRE has more than 60 years of experience and has produced a cadre of leaders in ocean science, modelling and simulation, acoustics and other disciplines, as well as producing critical results and understanding that have been built into the operational concepts of NATO and the Nations.

What we offer:

• Salary (Pay Basis): 4, EUR) Monthly*

• Salary value as per 2024. Subject to future adjustments in accordance with North Atlantic Council decisions.

• Grade ABCL grade A1 / NATO grade G11

• A world class research facility located in the sea port of La Spezia, Italy supported by two specialised research vessels.

• An exciting place in which to work situated at an ideal location, the port of La Spezia, Italy, enabling synergy with regional and global academic institutes and industry.

• Salary and conditions of employment will be in accordance with the NATO Civilian Personnel Regulations (NCPR), which includes a rewarding salary and a comprehensive system of allowances, supplements and insurances to support families and, in case of expatriated staff, offers an interesting "expatriate" package.

• A generous annual leave and, (where eligible) home leave.

• The successful candidate will be offered a three years' definite duration contract which may be renewed for subsequent periods subject to business needs, satisfactory performance and the need to rotate skills and talent within the Organization.

• Applicants who prove to be competent for the post but who are not successful in this competition may be offered an appointment to another post of a similar nature, which might become vacant in the near future, albeit at the same or a lower grade, provided they meet the necessary requirements.

Our recruitment process:

• Please note that we can only accept applications from nationals of NATO member countries.

• Applications (including the most relevant publications, the diplomas – stating the highest level of education – and a CV) for this vacancy are to be submitted using the E-recruitment system;

• Appointment will be subject to receipt of a security clearance (provided by the national Authorities of the selected candidate) and approval of the candidate's medical file by the CMRE Medical Adviser.

Additional information:

• CMRE values diverse backgrounds and perspectives and is committed to recruiting and retaining a diverse and talented workforce. We welcome applications of nationals from all Member States and strongly encourage women to apply.

• Selected candidates are expected to be role models of integrity, and to promote good governance through ongoing efforts in their work.

For more information on how to apply:

How to apply for posts within NATO

6 tips to apply for posts within NATO

NOTE:

NATO will not accept any phase of the recruitment and selection prepared, in whole or in part, by means of generative artificial-intelligence (AI) tools, including and without limitation to chatbots, such as Chat Generative Pre-trained Transformer (Chat GPT), or other language generating tools. NATO reserves the right to screen applications to identify the use of such tools. All applications prepared, in whole or in part, by means of such generative or creative AI applications may be rejected without further consideration at NATO's sole discretion, and NATO reserves the right to take further steps in such cases as appropriate.

HOW TO APPLY:

Applications are to be submitted using the NATO Talent Acquisition Program (NTAP)

Applications submitted by other means are not accepted. NTAP allows adding attachments. Essential information must be included in the application form. Particular attention should be given to Education and Experience section. Each question should be answered completely. Expressions such as "please see annex / enclosed document" or invitations to follow links to personal webpages are not acceptable and will be disregarded. All answers should be in English preferably, or French

Company:

NATO – Centre for Maritime Research and Experimentation (CMRE)

Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years):

Senior (5+ years of experience)

Tagged as: Academia , Big Data , Classification , Italy , Neural Networks , NLP