To ensure a circular and sustainable textile industry it is crucial to develop not only for high value products, but also for high volume products that puts the waste textiles back in the production loop in a resource efficient and toxic free route. We aim to develop processing techniques for textile recycling supported by novel analytical chemsitry and data treatment approaches for quantitative non-targeted screening or potentially toxic chemicals in recycled textiles within the project ”Tandem development of waste textile recycling process and chemical screening for a non-toxic Re:Start”, funded by Formas.
The postdoctoral position will be located in the research group of Professor Aji Mathew. The position involves development of processing techniques for recycling of textile waste. This also includes product development using reclaimed PET, acrylics, nanocellulose and hybrids and charcaterisation of composite materials. The candidate will collaborate closely with a postdoc in group of Professor Anneli Kruve that is working on analytical chemistry tools to evaluate toxicity and sustainability of the recycling processes. The candidate will also be able to collaborate with commercial enterprises.
Postdoctoral positions are appointed primarily for purposes of research. Applicants are expected to hold a Swedish doctoral degree or an equivalent degree from another country.
The doctoral degree should have been completed no more than three years before the deadline for applications. An older degree may be acceptable under special circumstances, which may involve sick leave, parental leave, clinical attachment, elected positions in trade unions, or similar.
The successful candidate will join a vibrant multidisciplinary team of students and postdocs and should therefore be a good team player with experience to supervise students. Applicants must have strong communication skills with excellent knowledge in English, both written and spoken.
In the appointment process, special attention will be given to research skills. The selection is based primarily on scientific excellence and experience in the field of nanocellulose processing, nanocelluose based composite materials and characterisation methods as well as textile recycling.
In the appointment process, special attention will be given to research skills in machine learning and technical skills in code writing. Candidates with knowledge in engineering of machine learning algorithms are especially appreciated.
Previous experiences in textile recycling or processing of nanocellulose and its composites are required. Proficiency in 3D printing using polymer composites or dye sensitised solar cells will be of advantage.