Senior Research Scientist, Combinational Optimization

Phmsociety; Cork; On-site; EUR 50,000 - 80,000; Full time

Job summary

A leading aerospace company is looking for a researcher in Cork, Ireland, focused on combinatorial optimization and artificial intelligence. The ideal candidate will have a PhD and proven research experience. Responsibilities include developing optimization techniques and software solutions. Excellent programming skills in Python, C, and C++ are essential. Join a diverse, international team committed to innovation in aerospace technologies.

Qualifications

• Competitive research record in combinatorial optimization or AI.
• Excellent knowledge of constraint programming and search techniques.
• Capacity to apply optimization methods to real-world problems.

Responsibilities

• Develop combinatorial optimization techniques.
• Implement constraint programming heuristics.
• Contribute to aerospace complex research questions.

Skills

Combinatorial optimization

Constraint programming

Search techniques

Python programming

C programming

C++ programming

Leadership

Communication skills

Education

PhD in Computer Science

Job description

Collins Aerospace, a Raytheon Technologies company, is a leader in technologically advanced and intelligent solutions for the global aerospace and defense industry. Collins Aerospace has the capabilities, comprehensive portfolio and expertise to solve customers’ toughest challenges and to meet the demands of a rapidly evolving global market.

Collins Aerospace’s Applied Research and Technology

Collins Aerospace’s Applied Research and Technology organization is a small, agile centrally held enterprise level technology organization with capabilities located globally. We work with Raytheon Technology Research Center, Universities, External Research organizations and global business units to identify, develop and demonstrate innovative technology solutions, products, services and intelligent systems supporting the Collins Aerospace Strategic Initiatives. The team’s vision is “Accelerating transformative technologies for a safer more connected and sustainable world”

Diversity drives innovation; inclusion drives success. We believe a multitude of approaches and ideas enable us to deliver the best results for our workforce, workplace, and customers. We are committed to fostering a culture where all employees can share their passions and ideas so we can tackle the toughest challenges in our industry and pave new paths to limitless possibility.

Job Description

We seek candidates with proven research credentials in multidisciplinary design optimization (MDO) for Collins Aerospace Applied Research and Technology in Cork, Ireland. The successful candidate will be able to demonstrate a strong mix of academic background and applied experience in designing, developing and implementing combinatorial optimization and mathematical programming methods, and applying advanced analytics and decision support to solve industrial problems. The successful candidate will be involved in the implementation of software solutions that realize the benefits of optimization research in practical applications.

Key Job Responsibilities

• Develop and implement combinatorial optimization techniques, like constraint programming, propagation algorithms, and search algorithms.
• Develop and implement constraint programming heuristics.
• Design and apply constraint programming optimization methods to industrial applications.
• Improve software engineering practices for high quality software.
• Documentation of implemented methods and results.
• Execute R&D agenda and contribute to the business development of Collins Aerospace.
• Conduct joint applications-oriented research for Collins Aerospace and with external research partners.
• Contribute to a growing research agenda for future aerospace systems within the Collins Aerospace Advanced Research & Technology.

Qualifications & Competencies

• Competitive research record in combinatorial optimization, constraint programming, operation research, or in automated reasoning of artificial intelligence.
• Excellent knowledge of automated reasoning approaches of artificial intelligence, search techniques, constraint programming, SAT, integer programming, and metaheuristics. Any other combinatorial optimization framework is a plus.
• Excellent computer programming skills in Python, C and C++.
• Demonstrated capacity to apply optimization methods to real-world problems.
• Excellent practice of software development, collaborative work, versioning, continuous integration and continuous deployment and testing, and software quality.
• Excellent interpersonal, leadership and communication skills.
• Ability to work in an international team and with different cultures.
• Be interested in interdisciplinary research and complex research questions from practice.

Education & Experience

A PhD in Computer Science, Applied Mathematics, or Artificial Intelligence with a focus on one of the following areas: constraint reasoning, planning and scheduling, search algorithms, or in mathematics with a focus on mathematical optimization.