Doctoral fellow

Last application date
Dec 31, 2019 23:59
Department
LA24 - Department of Green Chemistry and Technology
Employment category
Doctoral fellow
Contract
Limited duration
Degree
Master’s degree in Chemical Engineering or Bioscience Engineering. Additionally, Sciences, Industrial Sciences or Industrial/Civil Engineering with specialization in Chemistry, Material Sciences or an equivalent degree are also welcome to apply.
Occupancy rate
100%
Vacancy Type
Research staff

Job description

DESCRIPTION: Plastic waste is usually very contaminated. Contaminations include amongst others: other plastics due to missorting or multimaterial structure (e.g. multilayer films), additives, including inks, labels, organic residues, adsorbed odorous constituents, etc. It is clear that current water based washing and pretreatment techniques are often not sufficient towards closed loop recycling. More advanced chemical treatments could perform a more thorough cleaning by removing polymers, glues, inks, etc. selectively before recycling.

OBJECTIVES: The objective of this topic is to optimize chemical pretreatments of plastic waste to remove contaminants. This (can) include(s) aspects such as: further optimization of medium selection, optimization of process parameters, kinetic modeling, reactor design to maximize mass transfer, medium recovery. The exact definition of the topic from the mentioned options will be discussed together with the chosen ESR.

PLANNED SECONDMENTS: AUTH to test processability of plastics (after solvent treatment) in pyrolysis (M26-M31); Tomra to support process-chain design and upscaling to real process conditions (M36-M38).

Profile of the candidate

You are interested in academic research in the domain of separation and recycling of polymers. Experience related to separation processes and polymer chemistry is an advantage.

You have good skills to perform both modeling (mainly ASPEN based) and experimental work. Knowledge related to CFD modeling is a plus.

You want to apply fundamental knowledge in a societal context. You are creative, open-minded and can work independently.

You are a team player with good social skills.

You have good communication skills to explain a scientific topic to a layman. Good knowledge of English is a requirement

How to apply

Applicants need to complete an application form (www.c-planet.eu) including: ​

A detailed CV listing education, work experience, publications, relevant other activities, … (Europass format obliged) Motivation: a) why you want to do a PhD?; b) why are you applying for this specific topic? A language certificate (IELTS min. 7, TOEFL internet-based min. 90 or similar level as proven by other tests), if available At least one recommendation letter (academic reference) Transcript(s) of previous academic records

Applicants need to fully respect three eligibility criteria (to be demonstrated in the CV):

Early-stage researchers (ESR) are those who are, at the time of recruitment by the host, in the first four years (full-time equivalent) of their research careers. This is measured from the date when they obtained the degree which formally entitles them to embark on a doctorate, either in the country in which the degree was obtained or in the country in which the research training is provided, irrespective of whether or not a doctorate was envisaged. Conditions of international mobility of researchers: Researchers are required to undertake trans-national mobility (i.e. move from one country to another) when taking up the appointment. At the time of selection by the host organisation, researchers must not have resided or carried out their main activity (work, studies, etc.) in the country of their host organisation for more than 12 months in the 3 years immediately prior to their recruitment. Short stays, such as holidays, are not taken into account.
English language: Network fellows (ESRs) must demonstrate that their ability to understand and express themselves in both written and spoken
English is sufficiently high for them to derive the full benefit from the network training.