PhD scholarship in Collaborative autonomous surveillance of critical maritime infrastructure in

1 day ago

Kongens Lyngby, Lyngby-Tårbæk Kommune, Denmark Danmarks Tekniske Universitet (DTU) Full time

Are you ready to revolutionize maritime security with cutting-edge autonomous technology? Then join our team to shape the future of autonomous systems, enhancing the resilience of our maritime critical infrastructure.
Dive into an exciting PhD opportunity where you will push the boundaries of innovation, designing next-gen surveillance systems that safeguard maritime critical infrastructure—even when traditional navigation and communication methods fall short.

As a PhD candidate, you will have the unique chance to contribute to groundbreaking research that merges the fields of robotics, artificial intelligence, and maritime security. You will work alongside leading experts in the field, collaborate with international partners, and access state-of-the-art facilities.

This position offers a pathway to a highly impactful career, opening doors to opportunities in academia, industry, and government. Whether you are driven by the desire to push the boundaries of technology, contribute to national security, or lead innovations in the growing field of autonomous systems, this PhD position will equip you with the skills, knowledge, and experience to succeed.

If you are passionate, driven, and ready to make waves, we want you on our team Our inclusive research environment values diverse perspectives and encourages applications from candidates of all backgrounds. Let's build a safer future together

The PhD project builds on the strategic partnership between the Department of Electrical and Photonics Engineering (DTU Electro) and the National Institute of Aquatic Resources (DTU Aqua).

The research of this project has civilian objectives. However, equipment restricted by export licenses and ITAR (International Traffic in Arms Regulations) is being used. Applicants that are citizens of Denmark, Norway and other NATO countries, Australia, Austria, Finland, Ireland, Israel, Japan, the Republic of Korea, New Zealand, Sweden, Switzerland, and Ukraine are eligible. Other applicants should provide evidence of eligibility to use such equipment for their application to be considered.

Responsibilities and qualifications
Your overall focus will be to strengthen DTU expertise in autonomous marine systems. The research focus will be on development, implementation and verification of novel algorithms for cooperative simultaneous localization and mapping to deploy autonomous surveillance solutions for the maritime critical infrastructure. You will become part of an inspiring research environment focusing on the development of autonomous systems technologies for the marine environment. You will also gain international experience by engaging with academic institutions abroad.

Your primary tasks will be to:

  • Perform internationally relevant research in multi-vehicle simultaneous localization and mapping using multimodal sensor technologies towards mapping and surveillance of maritime critical infrastructure.
  • Create multiple datasets including navigation, acoustic and optical data collected from both ASV and ROV.
  • Create a cm-level accurate, semantic 3D "seabed-to-sky" map of a CMI using optical and acoustic features.
  • Perform accurate target tracking in GNSS and communication degraded environments.
  • Carry out experimental work with autonomous surface and underwater vehicles in real marine environments for data collection and validation of developed solutions.
  • Lead the preparation of scientific publications towards ISI journals and highly ranked international conferences.
  • Share findings of your research with qualified professional audiences.
  • Co-supervise BSc and MSc projects possibly within areas relevant to the PhD project.
  • Provide teaching assistance in BSc and MSc courses at DTU Electro.

As part of the Danish PhD program, you will also take PhD courses, participate in teaching, conduct an external research stay, and disseminate your research through publications.

You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree.

Additionally, you should meet the following qualifications:

  • Strong analytical skills and background in control/estimation theory and machine learning.
  • Experience within the field of robotic localization, acoustic or optical perception is a plus.
  • Documented experience through courses, projects or former professional work to develop and test solutions for real robotic systems.
  • Proficient in ROS/ROS2, Python and/or C++/C#.
  • Strong communication skills in English, especially in connection to writing and presenting scientific results.
  • Curiosity and passion drive you to uncover the unknown. Your energy enables you to collaborate effectively with peers and pursue independent work towards shared objectives. As a results-driven individual, you can go above and beyond to meet crucial deadlines.

Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education.

Assessment
The assessment of the applicants will be made by Associate Professor Roberto Galeazzi (DTU Electro) and Professor Patrizio Mariani (DTU Aqua).

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and appointment terms
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years.

The preferred starting date is December 1, 2024, or according to a mutual agreement. The position is a full-time position.

Application procedure
Your complete online application must be submitted no later than 13 September 2024 (23:59 Danish time)
Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", fill out the online application form, and attach all your materials in English in one PDF file . The file must include:

  • A letter motivating the application (cover letter).
  • Curriculum vitae.
  • Links to webpages, GitHub repositories, YouTube channels reporting your work in the field of autonomous robotic systems.
  • Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale.
  • List of publications (if any).

You may apply prior to obtaining your master's degree but cannot begin before having received it.

Applications received after the deadline will not be considered.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

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