PhD scholarship in Collaborative autonomous surveillance of critical maritime infrastructure in[...]
2 months ago
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.
#J-18808-Ljbffr-
Kongens Lyngby, Lyngby-Tårbæk Kommune, Denmark Danmarks Tekniske Universitet (DTU) Full timeRevolutionize Maritime Security with Autonomous TechnologyAre you ready to push the boundaries of innovation in autonomous systems? We invite you to join our team at Danmarks Tekniske Universitet (DTU) to contribute to groundbreaking research in collaborative autonomous surveillance of critical maritime infrastructure.As a PhD candidate, you will work...
-
Kongens Lyngby, Lyngby-Tårbæk Kommune, Denmark Danmarks Tekniske Universitet (DTU) Full timeRevolutionize Maritime Security with Autonomous TechnologyAre you ready to push the boundaries of innovation and design next-gen surveillance systems that safeguard maritime critical infrastructure? We invite you to join our team at Danmarks Tekniske Universitet (DTU) to contribute to groundbreaking research that merges robotics, artificial intelligence, and...
-
Kongens Lyngby, Lyngby-Tårbæk Kommune, Denmark Danmarks Tekniske Universitet (DTU) Full timeAutonomous Maritime Infrastructure Surveillance Research OpportunityDTU Electro and DTU Aqua are seeking a highly motivated PhD candidate to contribute to a groundbreaking research project on autonomous marine systems. The selected candidate will focus on developing novel algorithms for cooperative simultaneous localization and mapping to deploy autonomous...
-
Kongens Lyngby, Denmark Danmarks Tekniske Universitet (DTU) Full timeThe PhD project aims to create a versatile, modular, autonomous decision support system to enhance the O&M practices of wind turbines, focusing on faults that cause degradation of the wind turbine and plant power generation performance. The system will integrate a data acquisition subsystem, a ML-based data analytics module, and an autonomous reasoning...
-
Kongens Lyngby, Denmark Danmarks Tekniske Universitet (DTU) Full timeAre you passionate about driving sustainable and human-centred digital innovation in the maritime industry? Then join our team to shape the future of autonomous systems, enhancing the safety and reliability of autonomous operations at sea. Would you like to contribute to the sustainable and human-centered digitalization of the maritime industry? Are you...
-
Kongens Lyngby, Lyngby-Tårbæk Kommune, Denmark Danmarks Tekniske Universitet (DTU) Full timeJob DescriptionProject OverviewThe PhD project aims to develop a versatile, modular, autonomous decision support system to enhance the O&M practices of wind turbines, focusing on faults that cause degradation of the wind turbine and plant power generation performance. The system will integrate a data acquisition subsystem, a ML-based data analytics module,...
-
Kongens Lyngby, Denmark Danmarks Tekniske Universitet (DTU) Full timeThis PhD study will develop assessment of shipping-related pollution on plankton - the base of the marine food webs. The study will combine development of damage modelling with new experimental evidence on the ecological effects of multiple contaminants and their behavior in the marine environment. Are you interested in the interaction of biodiversity,...
-
Kongens Lyngby, Lyngby-Tårbæk Kommune, Denmark Danmarks Tekniske Universitet (DTU) Full timeJob DescriptionThis PhD study will focus on developing a damage modeling framework for environmental pollutants in marine environments. The research will investigate the effects of shipping on marine plankton and biodiversity, with a particular emphasis on the cumulative impacts of contaminants. The aim is to provide a holistic tool to assess the impacts of...
-
Kongens Lyngby, Lyngby-Tårbæk Kommune, Denmark Danmarks Tekniske Universitet (DTU) Full timeJob DescriptionThis PhD position is part of a research project focused on understanding the impact of shipping-related pollution on marine ecosystems. The successful candidate will develop assessment frameworks to quantify the effects of contaminant mixtures on marine plankton and contribute to the development of damage modeling tools for environmental...
-
Kongens Lyngby, Lyngby-Tårbæk Kommune, Denmark Danmarks Tekniske Universitet (DTU) Full timeProject OverviewWe are seeking a PhD student to join our team at DTU Wind to develop an autonomous decision support system for wind turbine maintenance. The project aims to enhance the O&M practices of wind turbines by creating a versatile, modular, autonomous decision support system that integrates data acquisition, machine learning, and autonomous...
-
Kongens Lyngby, Denmark Danmarks Tekniske Universitet (DTU) Full timePhD scholarship at DTU Wind in Reinforcement Learning-based Wind Farm Control Optimization in IntelliWind Marie-Curie network. Perfect for those passionate about low carbon energy and climate change solutions. Requires experience in programming and machine learning. Join us to innovate in renewable energy! If you are aspiring for a career in industrial R&D...
-
Kongens Lyngby, Lyngby-Tårbæk Kommune, Denmark Danmarks Tekniske Universitet (DTU) Full timePhD Scholarship in Wind Farm Control OptimizationWe are seeking a highly motivated and talented PhD student to join our team at DTU Wind in the field of wind farm control optimization. The successful candidate will have the opportunity to work on a cutting-edge project that focuses on developing and testing new AI-driven algorithms for wind farm control,...
-
Kongens Lyngby, Lyngby-Tårbæk Kommune, Denmark Danmarks Tekniske Universitet (DTU) Full timePhD Scholarship in Wind Farm Control OptimizationWe are seeking a highly motivated and talented PhD student to join our team at DTU Wind in the field of wind farm control optimization. The successful candidate will work on developing and testing new AI-driven algorithms for wind farm control, focusing on accuracy, reliability, and robustness.About the...
-
Kongens Lyngby, Denmark Danmarks Tekniske Universitet (DTU) Full timeThe objective of this PhD project is to design an automated component monitoring and maintenance recommendation system for bolts. The system will monitor the bolt tension and automatically generate work orders for bolts and tower sections that need to be re-tensioned. If you are aspiring for a career in industrial R&D or academia, with a passion for the...
-
Kongens Lyngby, Denmark Danmarks Tekniske Universitet (DTU) Full timeThe objective of this PhD project is to design a Decision Support System that automatically detects and evaluates anomalies likely to trigger alarm events. As a part of the evaluation, the system categorises the alarm trigger event, assigns probable causes, ranks the anomalies according to their severity, and populates an alarm mapping model with tags...
-
PhD Researcher in Autonomous Marine Systems
3 weeks ago
Kongens Lyngby, Lyngby-Tårbæk Kommune, Denmark Danmarks Tekniske Universitet (DTU) Full timeResearch OpportunityWe are seeking a highly motivated PhD researcher to join our team at Danmarks Tekniske Universitet (DTU) to work on a project focused on situational awareness for marine navigation using foundational models. The successful candidate will have the opportunity to contribute to groundbreaking research that merges the fields of robotics,...
-
Kongens Lyngby, Denmark Danmarks Tekniske Universitet (DTU) Full timeThis PhD project will explore advanced data-driven methods to accelerate the green transition by providing fast and accurate modeling of wind farm wake aerodynamics, which occurs as large wind turbines interact with the complex atmosphere. Are you eager to explore advanced machine-learning techniques and enthusiastic about accelerating the green energy...
-
Kongens Lyngby, Denmark Danmarks Tekniske Universitet (DTU) Full timeAre you running out of materials to make the next generation solid battery? Do you need exotic properties with not so exotic materials? Dislocations when introduced into ceramics can result in properties which are not native to themselves. The Department of Energy Conversion and Storage, Technical University of Denmark (DTU), invites applications for a PhD...
-
PhD scholarship in Solid State Batteries
2 months ago
Kongens Lyngby, Denmark Danmarks Tekniske Universitet (DTU) Full timeIn this three-year PhD position, you will work on the development of new solid-state batteries, especially inorganic composite electrolytes and electrodes. Your work will include materials synthesis, electrochemical characterization, full solid-state battery cells, and operando studies of solid-state batteries. Solid-state batteries are very promising as a...
-
Kongens Lyngby, Lyngby-Tårbæk Kommune, Denmark Danmarks Tekniske Universitet (DTU) Full timeImprove Student Learning with Generative AIDTU Compute and DTU Learning Lab are seeking a PhD candidate to design and validate Generative AI-based tools for providing immediate and relevant information and feedback to students' work in university STEM courses.This PhD project aims to utilize a User-Centered approach and Design-Thinking methodology to select...
