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Maintenance Manager
As the Maintenance Manager, you will be a key member of the leadership team, collaborating closely with our other leaders from various departments.
Collaborating with the leadership team, you will be a part of driving the factory's success and contributing to the achievement of our business objectives. As maintenance manager, you will oversee our maintenance team and ensure the implementation of best practices to optimize the performance of our manufacturing equipment and facilities, ensuring alignment with our organizational goals and HSE principles.
Team Lead TF Secondary Structures
Are you looking for a chance to play a key role in driving the Offshore and Onshore Wind Turbine Tower Internals development and project execution?
You and your team are responsible for handling of customer projects during Sales and Execution phase, as well the technical realization of international development projects, solution developments and Cost Outs for Tower Internals / Secondary Structures.
You will lead, develop and motivate the group of qualified engineers and technical project managers.
Group Lead
Help us to be ready to face the energy challenges of tomorrow and make a green footprint.
We are looking for someone who:
- Ensures adherence to defined manufacturing guidelines, processes and procedures.
- Supervises production activities according to established quality standards and EHS requirements.
- Contributes to production planning processes, and determines manufacturing priorities based on established weekly production schedules.
PhD scholarship in Efficient Numerical Modelling of Smart Hearables while Fitted to Users – DTU Electro
Are you interested in learning and extending on state-of-the-art numerical modelling techniques and, at the same time, contribute to improving the listening experience of smart hearable users and hearing impaired?
As a PhD candidate with us you will create models of audio devices that are worn in or over the ear and including the wearer’s acoustical and mechanical influence. You will deal with a large modelling task with uncertain input data, and to do this you will acquire knowledge on fields like advanced numerical modelling techniques, improvement of model efficiency and numerical optimization, among others.
