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Research Fellow

Research Fellow in Smart Fibre Optic High-Power Photonics (HiPPo): Development of the Digital Fibre Laser 

About HiPPo

Standard multi-kW fibre lasers are now routinely used in the most advanced production lines for cutting, welding, 3D printing, and marking of a myriad of materials from glass to steel. The ability to precisely control the properties of the laser beam and focus it on the workpiece makes high-power fibre lasers (HPFLs) indispensable to modern manufacturing. As we enter the Digital Manufacturing/Industry 4.0 era however, new challenges and opportunities for HPFLs are emerging.

The primary objective of the HiPPo project (Smart Fibre Optic High-Power Photonics, www.hippo-laser.co.uk) is to move beyond the “fixed” fibre lasers that are currently used in manufacturing, and towards “smart” fibre lasers that are automatically reconfigured and optimised in real-time depending on the application. This ambitious objective requires research breakthroughs across the spectrum of fibre laser development, from the development of new fibre core materials, to addressing limits imposed by SBS and TMI, to high-speed beam and polarisation shaping, to multi-channel kW level energy delivery, and finally using deep learning to solve the complexity challenge associated with coherent beam combination.

The role

Within HiPPo, your specific task will be to develop a ‘digital fibre laser’, through the neural-network control of a tiled array of fibre lasers in a coherent beam combination architecture, for unlocking novel power scaling and beam shaping capabilities in real-time. You will work at the Optoelectronics Research Centre (www.southampton.ac.uk/about/faculties-schools-departments/optoelectronics-research-centre) in a project team of eight PDRAs focused on delivering the next generation of HPFLs. You will have access to our state-of-the-art cleanroom facilities (www.zeplerinstitute.com/facilities), and be led by a team of world leading experts in the fibre laser and deep learning domains.

About you

You will have a PhD or equivalent professional qualifications and experience in an experimental discipline, ideally with experience in fibre optics and low-noise lasers and optical amplifiers, along with their practical implementation. Applications are also welcome from candidates nearing completion of a relevant PhD qualification. Whilst this is a laser development project, awareness of deep learning techniques is beneficial as you will be working closely with deep learning specialists.

Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD. Prior to the qualification being awarded the title of Senior Research Assistant will be given.

What we offer 

The University of Southampton is in the top 1% of world universities and in the top 10 of the UK’s research-intensive universities. We are committed to sustainability and being a globally responsible university. We have recently been awarded the Platinum EcoAward, and strive to embed sustainability into all aspects of our individual and collective work. We aim to create an environment where everyone can thrive and are proactive in fostering a culture of inclusion, respect and equality of opportunity. With a generous holiday allowance, we are committed to supporting our staff and are open to flexible working.

To informally discuss the position, contact Prof Johan Nilsson (jn@orc.soton.ac.uk) or Dr Ben Mills (bm602@orc.soton.ac.uk). Please quote the advert reference on all correspondence.

Further details:

We are committed to equality, diversity and inclusion and welcome applicants who support our mission of inclusivity.

Apply by 11.59 pm GMT on the closing date. For assistance contact Recruitment on +44(0)2380 592750 or recruitment@soton.ac.uk quoting the job number.


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Job Details
Section
Smart Lasers and Special Fibres
Location:
Highfield Campus
Salary
£36,924 to £43,878 per annum
Full Time Fixed Term until 29/02/2028
Closing Date:
Monday 21 October 2024
Interview Date
To be confirmed
Reference
2868524BA
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