Zur Startseite von DrArbeit.de,
der deutschlandweiten Stellenbörse für Diplomarbeiten und Doktorarbeiten


Lupe2

Archiv - Stellenangebot

 

Dies ist ein Angebot aus der Datenbank von DrArbeit.de

Um die Datenbank komfortabel nach weiteren Angeboten durchsuchen zu können, klicken Sie einfach oben oder hier.

 
Archiv-Übersicht     Angebot Nr. 14724

Angebotsdatum: 16. November 2022
Art der Stelle: Doktorarbeit
Fachgebiet: Chemie > Physikalische Chemie
Titel des Themas: Assembly pathways of proteins from sustainable plant sources

Institut: Malmö University, Biofilms Research Center for Biointerfaces
Adresse:
Herr Felix Roosen-Runge
Per Albin Hanssons väg 35
21432 Malmö, Sweden
Tel.: +46-40-6657969   Fax.:
Bundesland:
Homepage: http://https://web103.reachmee.com/ext/I005/1015/job?site=7&lang=UK&validator=e5819a4704cd849685049472c0c17895&job_id=2580
E-Mail Kontakt: mail

Beschreibung: Proteins from plant seeds present promising opportunities to replace animal-derived food proteins with a more sustainable, healthy and affordable protein source. However, seed proteins are structurally complex, of large molecular weights, and often poorly soluble in water. These differences to typical animal proteins require novel approaches to create comparable food properties.

The PhD project will be part of a larger research program targeting the question of how to best exploit the potential for tunable structure formation from plant proteins, by translating conceptual and methodological developments in soft matter and protein biophysics into food science. In particular, we will combine structural and dynamical characterization using state-of-the-art scattering and microscopy techniques to study well-defined solutions and hydrogels of plant proteins.

The PhD project will focus on different assembly pathways of plant proteins as triggered by changes in temperature and chemical environment. Specific tasks will include the use of time-resolved scattering and microscopy techniques to follow the structural and dynamical evolution during assembly processes, as well as the use of environments for controlled mixing to initiate structure formation with specific desired outcomes.

The work will be performed in a team of project and PhD students, postdocs and the supervisor(s), and openness to actively contribute to a common research agenda is needed. The project will also include experimental campaigns at national and international research facilities, and provide the option for a longer stay abroad as part of the PhD project. We aim for the PhD student to become an active and independent researcher at the interdisciplinary boundary of food science and soft matter.

Please apply via our application webpage until **01/12/2022**

https://web103.reachmee.com/ext/I005/1015/job?site=7&lang=UK&validator=e5819a4704cd849685049472c0c17895&job_id=2580

The start date in early 2023 is up for discussion and mutual agreement.

Weitergehende Informationen auf deutsch ist auf Anfrage verfügbar. Der Betreuer ist deutscher Muttersprachler, und Arbeitssprache ist englisch.
Methoden: The project builds on an interdisciplinary approach, in particular combining concepts and approaches from food science and soft matter science, and bridging from experimental realization to theoretical modeling. The ideal candidate combines a strong interest in interdisciplinary research with a solid background in a related field of study (e.g. physics, (bio-)chemistry, food engineering).

Good communication skills in English (written and spoken) as working language are necessary. Furthermore, a successful candidate should be open and able to actively contribute to an interdisciplinary and international research environment.

Experience in research related to proteins in solution or protein hydrogels is a merit, as well as conceptual knowledge on the physicochemical and biophysical basis of protein phase behavior. Hands-on experience in one or several of the following techniques / topics is a merit:
light, neutron or X-ray scattering
optical microscopy
microfluidic environments
scientific scripting languages (e.g. python, matlab)
data analysis of larger data sets
Anfangsdatum: 10. Januar 2023
Geschätzte Dauer: 4 years
Bezahlung: fully funded PhD position with 100% salary level
Papers:
Sonstiges:


Archiv-Übersicht