Showing posts with label Master Scholarships. Show all posts
Showing posts with label Master Scholarships. Show all posts

Master Student / Internship (m/f/d) | Ionic Liquids / Polymers

 


The Department of Colloid Chemistry (Markus Antonietti) at the Max Planck Institute of Colloids and Interfaces in Potsdam, Germany invites applications from outstanding young students for a Master Student / Internship (m/f/d).

We are looking for a highly motivated master student in the field of ionic liquids / polymers. This master project is institute-industry collaboration project (one of leading company in chemical industry). The purpose of this research is to look into the compatibility, new functionalities, and fundamental mechanisms (e. g., electrochemistry, surface/interface, ionic conductivity) of sustainable ionic electrolytes incorporated into polymer materials.

The candidate should have a B.Sc. degree in Chemistry or closely related fields, with an outstanding profile, a strong background, and interests in

  • Ionic liquids / electrolytes
  • Electrochemical characterization
  • Physico-chemical characterization

To submit your candidature please send an email to: , with the subject ILs-MSc – [Name, Surname], with attached PDF version of your CV, an updated transcript of record and your bachelor certificate.

Please send us your application in English until April 30, 2023.

The accepted candidate will join the Max Planck Institute of Colloids and Interfaces, Colloid Chemistry Department, in the group of Advanced electrolytes for sustainable batteries led by Dr. Roza Bouchal.

The Max Planck Society strives for gender equality and diversity. We welcome applications from all backgrounds. The Max-Planck Society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals. Furthermore, the Max Planck Society seeks to increase the number of women in those areas where they are underrepresented and therefore explicitly encourages women to apply.

Bachelor or Master project: Enzymatic profiling of bark and ambrosia beetle fungi

 We are currently looking for a motivated student (m/f/d) for a B.Sc. or a M.Sc. project at the Max Planck Institute for Chemical Ecology in Jena. In this project, the student will work with symbiotic filamentous fungi of bark and ambrosia beetles under laboratory conditions. The student will explore and describe the possibility of these fungi to decompose the major woody polysaccharides and compare findings with other non-insect associated fungi as well as with competitive and wood-degrading fungi.

Project description

Both bark and ambrosia beetles, which typically colonize rather nutrient-poor woody substrate (like phloem or xylem of weakened trees), are associated with a broad range of microbes such as filamentous fungi, bacteria, and yeasts. To date, only little is known about the role of these microbes and how they support the survival of their beetle hosts. Especially some of the associated filamentous fungi are believed to be of high nutritional value for the beetles, and thus are ensuring the successful development of beetles in such a challenging environment. In many cases, the beetles themselves are even unable to survive without their fungal partners. However, our current knowledge about the ability of these fungi to decompose the main carbon sources in woody tissue (such as Cellulose, Xylan, Mannan, Lignin, Pektin) is limited as detailed studies are lacking. Therefore, a comparative study on the ability of different symbiotic and non-symbiotic fungi will be of crucial importance to understand how these beneficial fungi support their beetle hosts.

Research goal

Within this project, a student will examine which carbon sources in wood are playing a role for several bark and ambrosia beetle fungi and how deep these fungi are growing into the wood focussing on:

  • Cultivation of fungi under sterile conditions and varying C-sources
  • Enzymatic assays
  • Microscopic analyses of colonized wood
  • Comparison of results between different tested fungi

Position and application

The student will first be employed as a HiWi-student for around 2 months (10 hours/week) in aim to get to know each other and to introduce him/her to this exciting project.
If you are generally interested in microbiology, mycology and ecology, and want to find out more about this project (e.g. details, start date), don´t hesitate to get in contact with us.

Contact:
Dr. Maximilian Lehenberger                 
E-Mail: 

Master Thesis | Process simulation and analysis of the Chemical Recycling Process of Nylon66 using supercritical water

 The Max Planck Institute for Dynamics of Complex Technical Systems (MPI) is looking for a student willing to write a master thesis in the Max-DePoly project in collaboration with BASF. The Max-DePoly project deals with the chemical recycling of polymers, especially polyamides (PA).

Further information about the project.

Motivation

In the future, closed cycles in the chemical industry represent an essential contribution to the sustainable development of our society as it counteracts environmental pollution and depletion of fossil raw materials. Engineering thermoplastics such as polyamide 66, also called Nylon 66, are often unsuitable for the most popular mechanical recycling strategy. This is due to their very high-quality requirements and the degradation of the polymers, the so-called downcycling. Moreover, mixed or contaminated plastic waste is a considerable challenge in mechanical recycling.

Therefore, chemical recycling processes are needed that can tolerate a certain amount of contamination and depolymerise the polymer into its respective monomers. As opposed to mechanical recycling, chemical recycling avoids the polymer's quality loss, thereby acting in favour of a circular economy with multiple polymerisation–depolymerisation cycles. Different chemical recycling options exist, such as hydrolysis, alcoholysis or aminolysis. In this project, the hydrolysis of PA66 using supercritical water is to be investigated. In the literature, a process simulation and analysis in terms of carbon footprint, as well as the determination of the influence of specific process variables, is missing. Hence, this project aims to simulate and analyse the process in order to improve the understanding and find possible opportunities for optimisation of the process.

Task description

  • Simulation of PA66 Depolymerisation Process using Aspen Plus
    • Complete mass and energy balance of process
    • Close recycle loops
    • Define purge and waste streams
    • Define PA66 polymer using segment approach in Aspen Plus
    • Estimate missing physical properties
    • Incorporate the kinetics of the hydrolysis reactions (reverse polycondensation)
  • Process Analysis
    • Investigate equilibrium chain length distribution and composition of monomers and oligomers depending on stoichiometry (comparison with experimental data provided by BASF SE)
    • Sensitivity analysis (temperature, water:polymer ratio, ..)
    • Product carbon footprint (PCF) calculation
    • Optional: optimisation of process conditions with regard to PCF

Requirements

  • Bachelor's degree in Process Engineering, Chemical and Energy Engineering, Process Safety and Environmental Engineering or a similar technical degree program with above-average grades
  • Good skills and experience with Aspen Plus
  • Desirable is a successful completion of the courses: process systems engineering (SVT) and/or advanced process and systems engineering (APSE), as well as process simulation with Aspen
  • Experience in process optimisation is an advantage
  • Dedication and enthusiasm for innovative research
  • Independent, results-oriented and systematic working approach

Start: from 02.01.2023 at the earliest

Work mode: preferably home office

The Max Planck Society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals. Furthermore, the Max Planck Society seeks to increase the number of women in those areas where they are underrepresented and, therefore, explicitly encourages women to apply.

Please note the information regarding the storage of personal data.

If you are interested, please get in touch with us at  with your resume and a grade summary so we can schedule an interview.

Master Thesis - Optimized sintering of advanced tungsten-based SMART materials for fusion reactors using field assisted sintering technology and finite element modelling

 The master thesis contains two parts:

In the first part, FEM is used to investigate the temperature and current density distribution of a square and a polygon-shaped FAST/SPS sample. The linear size of the samples is 100 mm. Based on the results, geometrical parameters like wall thickness of die and thickness of thermal insulation material will be systematically varied to find the optimum tool dimensions and shape for reducing thermal gradients to a minimum.
In the second part, deformation behavior of a mechanically alloyed W-11.6Cr-0.6Y powder in this tool is modelled for ensuring full and homogeneous densification of square and polygon shaped samples with linear size of up to 100 mm.
The FEM modeling of FAST/SPS process and the subsequent model validation in the dedicated FAST/SPS experiments is extremely important for physics and engineering understanding of FAST/SPS technique.

  • Adapting an existing FEM model to square and polygon shaped FAST/SPS tools
  • Investigation and optimization of the temperature and current density distribution of such tools depending on geometrical features like wall thickness of the die and thermal insulation
  • FEM modelling of the densification behavior of a mechanically alloyed W-11.6Cr-0.6Y powder in a square or polygon shaped tools
  • FAST/SPS experiments to measure the input parameters for the densification model at the RWTH Aachen University
  • Verification of the model by producing large samples in an optimized tool at Forschungszentrum Jülich



Your Profile:

  • Studies of material science, mechanical engineering or a related field
  • Basic knowledge of FEM modelling
  • Basic knowledge of material processing and working in the lab
  • Independent work in a motivated team
  • Good command of written and spoken English


Our Offer:

We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We support you in your work with:

  • Participation in a cooperation between RWTH Aachen and Forschungszentrum Jülich
  • The main working place will be the IWM, RWTH Aachen
  • A highly motivated, interdisciplinary work environment at both institutions, a well-recognized technical university and one of the largest research institutions in Europe
  • Participation in the worldwide collaboration on development of advanced materials
  • Professional support of qualified supervisors
  • Working on a topic with high relevance for future energy systems




Place of employment: Aachen

We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation / identity, and social, ethnic and religious origin. A diverse and inclusive working environment with equal opportunities in which everyone can realize their potential is important to us.

We look forward to receiving your application by 23.10.2022

APPLY NOW

Master Thesis - Distributed memory parallelization of CubeLib library using MPI

 Cube, which is used as performance report explorer for Scalasca and Score-P, is a generic tool for displaying a multi-dimensional performance space consisting of following dimensions: performance metric, call path, and system resources. Each dimension can be represented as a tree, where the non-leaf nodes can be collapsed or expanded to achieve the desired level of granularity.

CubeLib, as a part of the Cube framework, is a general purpose library, which is used in the cube_server tool to access and process the Cube profile data. Currently the cube_server tool and the CubeGUI are using shared memory parallelization approach within the single compute node.
The goal of the master thesis is to develop a prototype of the CubeLib using distributed memory parallelization approach, incorporate it in the cube_server tool and conduct a performance analysis.

Your tasks will include:

  • Development of the prototype of parallelization algorithm
  • Its incorporation in the CubeLib and the cube_server tool
  • Conducting performance measurements and comparisons using Score-p and other tools
  • Investigation of theoretical maximal speedup and possible limitations of the algorithm

Your Profile:

  • Bachelor’s degree (or equivalent) in computer science, mathematics or related field
  • Advanced skills in parallel programming using C++
  • Solid knowledge of the MPI
  • Interest in the High Performance Computing field
  • Ability to communicate with colleagues and discuss various problems in the field
  • Well-structured and systematic research approach



Please feel free to apply for the position even if you do not have all the required skills and
knowledge. We may be able to teach you missing skills during your training.

Our Offer:

We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We support you in your work with:

  • An interesting and socially relevant topic for your thesis with future-oriented themes
  • Ideal conditions for gaining practical experience alongside your studies
  • Excellent technical equipment and the newest technology
  • Qualified support through your scientific colleagues
  • The chance to independently prepare and work on your tasks
  • Flexible work (location) arrangements, e.g. remote work
  • A large research campus with green spaces, offering the best possible means for networking with colleagues and pursuing sports alongside work


The position is for a fixed term of 6 months.

We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation / identity, and social, ethnic and religious origin. A diverse and inclusive working environment with equal opportunities in which everyone can realize their potential is important to us.

We look forward to receiving your application.
The job will be advertised until the position has been successfully filled. You should therefore submit your application as soon as possible.

APPLY NOW

Master Thesis - Biochemical Modification of Conductive Protein Fibers for the Next-Generation Bioelectronics

 The Master thesis project aims to develop a novel biochemical approaches for the manipulation of conductive cable bacteria fibers. The secret of cable bacteria conductivity is in their periplasmic fibers, which are highly conductive. These fibers should be extracted from the cable bacteria for further processing. Electrical and electrochemical characterizations of these fibers will be performed to investigate their intrinsic properties. Furthermore, chemical cell fixation and fluorescence in situ hybridization protocols will be established and optimized to examine the internal structures of the fibers. In addition, the biocompatibility and long term stability under cell culture conditions will be evaluated. On the long term, these fibers will be used to decorate microelectrodes for the recording of action potentials from electrogenic cells.


Your tasks will include:

  • Performing and optimizing protocols for the chemical extraction of biological fibers and fixation of bacterial cells connected to microelectrodes
  • Modification of microcelectrode surfaces with conducting protein fibers and their morphological characterization
  • Electrical and electrochemical characterization of native and engineered conductive protein fibers
  • Testing the stability and biocompatibility of the protein fibers for electrogenic cells
  • Establishing and maintaining cell cultures
  • Communication with other scientists from the EU project



Further information on the Microbial Electricity background:
https://www.microbial-electricity.eu/

Project Link:
https://www.linkedin.com/in/pringle-eic-pathfinder-94107323b/

Your Profile:

  • Bachelor’s degree (or equivalent) chemistry, biotechnology, material sciences, physical chemistry or biology
  • Interest in the field of Bioelectronics
  • Ability to communicate with scientists and technicians from various disciplines
  • Good written and spoken English
  • Independent and analytical way of working
  • Advantageous, yet not mandatory, are experiences in programming and data analysis
  • Passion for science

Our Offer:

We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We support you in your work with:

  • An interesting and socially relevant topic for your thesis with future-oriented themes
  • Ideal conditions for gaining practical experience alongside your studies
  • Multifaceted work in an interdisciplinary and international setting, as well as a cooperative work environment
  • Fantastic research equipment facilities
  • International collaboration with the scientific groups from the Netherlands, Belgium, Spain and Cyprus
  • Forschungszentrum Jülich located closely to Belgium and the Netherlands with strong links to the ABCD Region (Aachen, Bonn, Cologne, and Düsseldorf) which is one of the leading high-tech regions in Europe.


We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation / identity, and social, ethnic and religious origin. A diverse and inclusive working environment with equal opportunities in which everyone can realize their potential is important to us.

We look forward to receiving your application. The job will be advertised until the position has been successfully filled. You should therefore submit your application as soon as possible.

APPLY NOW

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The National University of Singapore in Singapore invites applications for vacant (518) Research and Postdoctoral Positions

The National University of Singapore in Singapore invites applications for vacant (518) Research and Postdoctoral Positions