Mathematics | Scholarship for Nigerians and Africans - Part 42

Postdoctoral Position in Mechanical Screening and Selection of Circulating Cells, Netherlands

The Department of Biomedical Engineering is a cooperation of Eindhoven University of Technology (TU/e) and the Faculty of Health, Medicine and Life Sciences of the University of Maastricht. The department participates in distinguishing research programs. Research areas are Molecular Bioengineering & Molecular Imaging; Biomechanics & Tissue Engineering; and Biomedical Imaging & Modeling. TU/e is situated in the European technology hotspot ‘Brainport Eindhoven’, known for its many high-tech industries and start-ups. A sparkling environment with opportunities for talented people.

The Department of Mechanical Engineering considers as the core of their activities design, realization and analysis of new products, processes and materials. Besides the basis of (solid and fluid) mechanics, materials, control and thermodynamics, parts of mathematics, physics, chemistry and computing science are important supporting tools. The field is explored by a combination of modeling using fundamental concepts and applied engineering and technology. Automotive Engineering Science and Micro- amp; Nano-Scale Engineering are important departmental themes. The Mechanical Engineering Department comprises about 1000 students and 250 staff members.

Cell lysis is the process of disrupting a cell membrane in order to obtain intracellular material, such as DNA, RNA, proteins, organelles, mitochondria, chloroplasts, etc, for further analysis or use. This is therefore an essential step in many biological and biomedical applications, for example for the sequencing of DNA originating from prokaryotic and eukaryotic cells, or for infectious disease testing in which NA of bacteria or viruses must be detected. There are a number of existing lysis methods. Most of them use large volumes and are not suitable for integration in lab-on-chip systems. Methods using chemicals and /or enzymes to lyse cells could be miniaturized, but are considered to be too expensive or too invasive in disposable diagnostic systems. Our approach is to use the combination of electroporation (using electric fields generated by electrodes integrated in the device) with elongational flows to lyse cells in a controlled way within a micro-fluidic system. The advantage of this approach is that it may lead to a gentle, controlled lysis procedure. In addition, the approach would give the opportunity to study cell lysis in a controlled way in order to understand the process better.

The basic idea is that electroporation introduces controlled defects in the cell membrane, effectively weakening it. A subsequent exposure of the cell to an elongational flow would then deform it until complete lysis occurs. This process is reminiscent of classical fracture mechanics approaches.

The aim of the PostDoc project is to design variations of fluidic and electrode geometries to study the lysis method, in particular the effect of lysis on cell content, e.g. proteins or complexes of proteins. The device and the method need to be optimized to obtain a highly controllable method. The focus will be on circulating cells from the blood stream. Based on the experimental results, a model describing the cell failure has to be developed. This model will basically consist of the viscoelastic model for cell deformation, extended with a failure model. The combination of the numerical model and the experiments will lead to a better understanding and prediction of the effects of cell lysis. The project is embedded in a larger research program on ‘Circulating Cells’, performed by a consortium of several academic, clinical and industrial partners and funded by the Center for Translational Molecular Medicine (CTMM). The PostDoc will interact with these partners, and will be collaborating with existing activities on cell mechanical studies at the Materials Technology Institute.

Requirements

We are looking for candidates with a PhD in biomedical engineering, mechanical engineering, applied chemistry, etc. with a strong affinity for experimental and/or numerical micro-fluidic experiments, cell biology or mechanics, and biomedical applications.

Appointment and Salary

We offer:

* A challenging job at a dynamic and ambitious University
* The appointment is for one year. After a good evaluation your contract can be extended with 7 more months.
* The gross monthly salary will be in accordance with the Collective Labor Agreement of the Dutch Universities (CAO NU) and amounts initially to at least € 2861 per month (scale 10.4) depending on prior experience.
* An attractive package of fringe benefits (including excellent work facilities, end of the year allowance and sport facilities).

Application Deadline 31-08-2010
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PhD Student in Autonomic Optical Networks, Eindhoven University of Technology, Netherlands

The Department of Electrical Engineering covers the application of electrical phenomena with respect to energy transfer, telecommunication, and calculation and processing of information and the technology involved. Both hardware, in the form of electronic and/or optical circuits and accessories, and software, in the form of system software for electro-technical application, are the subject of study. Existing and new electrical and/or optical components and systems are analyzed, designed and realized. In addition, the maintenance of these systems is the subject of research, as is the relevance for society of electrical engineering and informatics.

This full-time position is within the Electro-Optical Communication Systems (ECO) group, part of the COBRA Research Institute, in the Department of Electrical Engineering. In the ECO group, research is done in the area of optical fiber communication networks and their supporting techniques, ranging from ultra-high capacity long distance transport and ultra-fast optical signal processing, to optical fiber techniques for providing broadband services to the user in access networks and in-home networks. Particularly relevant to this vacancy is the work on fiber-wireless communication, which we want to explore in the context of autonomic networking techniques.

The group is participating in the Netherlands Institute for Research on ICT (NIRICT). NIRICT comprises all ICT research of the three technical universities in the Netherlands: Delft University of Technology, Eindhoven University of Technology, and the University of Twente. NIRICT brings together over 70 research groups from the disciplines of Computer Science, Electrical Engineering, Mathematics and several ICT application domains. More than 1200 researchers collaborate, which makes NIRICT the most important ICT academic research partner in the Netherlands.

Requirements

Candidates for this position should have a strong MSc degree in electrical engineering or computer science (with hardware orientation), with emphasis on networking and/or network management. He/she should have a strong affinity with data communication techniques (optical and/or wireless) and some hands-on experience with computer programming.

Previous experience in any of the following areas will be considered as an advantage:

* reconfigurable networks (e.g., optical, wireless or ad-hoc networks)
* FPGA (Field-Programmable Gate Array) programming
* virtual and/or overlay networks (e.g., peer-to-peer networks)
* control theory
* machine learning (e.g. statistics)
* context-aware systems (e.g., context modeling and management)
* network performance analysis, characterization, optimization and simulation
* track record of scientific publications

The ability to collaborate with members of an interdisciplinary team is of paramount importance, since autonomic networks require a close interaction with computer scientists and electrical engineers. Priority will be given to candidates who can demonstrate excellent team-working.

Application Deadline 05-09-2010

The Department of Electrical Engineering covers the application of electrical phenomena with respect to energy transfer, telecommunication, and calculation and processing of information and the technology involved. Both hardware, in the form of electronic and/or optical circuits and accessories, and software, in the form of system software for electro-technical application, are the subject of study. Existing and new electrical and/or optical components and systems are analyzed, designed and realized. In addition, the maintenance of these systems is the subject of research, as is the relevance for society of electrical engineering and informatics.

This full-time position is within the Electro-Optical Communication Systems (ECO) group, part of the COBRA Research Institute, in the Department of Electrical Engineering. In the ECO group, research is done in the area of optical fiber communication networks and their supporting techniques, ranging from ultra-high capacity long distance transport and ultra-fast optical signal processing, to optical fiber techniques for providing broadband services to the user in access networks and in-home networks. Particularly relevant to this vacancy is the work on fiber-wireless communication, which we want to explore in the context of autonomic networking techniques.

The group is participating in the Netherlands Institute for Research on ICT (NIRICT). NIRICT comprises all ICT research of the three technical universities in the Netherlands: Delft University of Technology, Eindhoven University of Technology, and the University of Twente. NIRICT brings together over 70 research groups from the disciplines of Computer Science, Electrical Engineering, Mathematics and several ICT application domains. More than 1200 researchers collaborate, which makes NIRICT the most important ICT academic research partner in the Netherlands.

Requirements

Candidates for this position should have a strong MSc degree in electrical engineering or computer science (with hardware orientation), with emphasis on networking and/or network management. He/she should have a strong affinity with data communication techniques (optical and/or wireless) and some hands-on experience with computer programming.

Previous experience in any of the following areas will be considered as an advantage:

* reconfigurable networks (e.g., optical, wireless or ad-hoc networks)
* FPGA (Field-Programmable Gate Array) programming
* virtual and/or overlay networks (e.g., peer-to-peer networks)
* control theory
* machine learning (e.g. statistics)
* context-aware systems (e.g., context modeling and management)
* network performance analysis, characterization, optimization and simulation
* track record of scientific publications

The ability to collaborate with members of an interdisciplinary team is of paramount importance, since autonomic networks require a close interaction with computer scientists and electrical engineers. Priority will be given to candidates who can demonstrate excellent team-working.

Application Deadline 05-09-2010

PhD Researcher for “Heterogeneity in Studies with Discrete-Time Survival Endpoints: Implications for Optimal Designs and Statistical Power Analysis”, Netherlands

This project is funded by a VIDI grant from the Netherlands’ Organization for Scientific Research (NWO). The PhD student will spend time on doing research, following mathematics and statistics courses of IOPS and other institutes, and spend about 10% of the time on teaching courses at the BSc level. The PhD student will be supervised by Dr M. Moerbeek.

The aim of trials on event occurrence is to study if and when a particular event, such as onset of daily smoking or entry into parenthood, occurs. The timing of events may be in thin and precise units or in coarser intervals. In the second case one does not know the exact timing of the event; one only knows that it occurred within a particular time interval. Such discrete-time survival data are typically analyzed on basis of a generalized linear model, such as a logistic regression model.

The main research question in any trial is whether an experimental treatment differs from a control with respect some outcome variable. As many covariates or background variables, such as age and socio-economic status, may have an effect on the outcome they should be measured and included in the statistical model. Ignoring such variables may result in biased estimates of the treatment effect estimator and hence incorrect conclusions with respect to the effect of treatment.

The aim of this project is to investigate to what extent such biases occur and how they can be corrected for in the statistical model. We will also focus on the optimal design of trials with covariates and discrete-time survival data. The PhD student will write papers in international scientific journals, contribute to international conferences and write a PhD thesis.

Qualifications:

  • MSc in applied statistics, biometrics, biostatistics, econometrics, psychometrics or a related field with a solid background in applied statistics.
  • Applicants should be familiar with the generalised linear model, matrix algebra, research designs and have some experience with computer programming.
  • The applicant communicates easily in English, both verbally and in writing.
  • The starting date is January 2011.

    Contact Person: ms. Dr M. Moerbeek (supervisor), phone (+31) 30 253 1450,
    email: M.Moerbeek@uu.nl, website: http://www.fss.uu.nl/ms/moerbeek.

    How to apply:

    Please send your written application, with motivation, curriculum vitae, list of courses and grades and contact information of two referees before August 25th, 2010 and specifying vacancy number 691021.

    Applications can be emailed to: PenO.FSW@uu.nl or be sent to:
    Faculty of Social and Behavioural Sciences, Personnel Department, attn. Mr. M. Azdoufal, P.O Box 80140, 3508 TC Utrecht, The Netherlands.