2 postdoc/research fellow position

Dear colleagues,

please see the following link https://warwick.ac.uk/fac/arts/history/research/projects/fake/opportunities/
for two 3-year Wellcome Trust funded post doc positions. These positions make part of the project “What’s at Stake in the Fake: Indian Pharmaceuticals, African Market and Global Health”. One position will be partly based in South Africa/Wits.
Please circulate widely and feel free to contact me if you have any questions.

Best wishes
Julia



Julia Hornberger
Associate Professor
Head of Department
Department of Anthropology
University of the Witwatersrand

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PostDoc in Healthcare AI @ University of Edinburgh

We have received significant investment from the Royal Academy of Engineering, Canon Medical Research Europe and the University of Edinburgh to develop new algorithms for learning models that can diagnose and predict disease integrating imaging and non-imaging data.
We are looking for an enthusiastic postdoctoral researcher to join our team and work in close partnership with industry, academic experts in deep learning and clinicians to address, with original work, the challenges of artificial intelligence in healthcare bridging imaging with non-imaging data. Areas of particular interest include: disentangled representation and multimodal learning, semi and weakly supervised learning and generative models for handling uncertainty.

This position is fixed term for a period of 36 months from August 2019 (can be extended based on performance).
The candidate will:
Join a dynamic, international team of several postdocs and students working in the area of healthcare and deep learning at the University of Edinburgh - a powerhouse in artificial intelligence, engineering and medicine
Contribute in an exciting project where deep learning meets imaging and other healthcare data directly addressing industry and societal needs
Collaborate closely with the Edinburgh-based R&D centre of Canon Medical, a conglomerate in medical imaging
Interact with several clinical experts at the Edinburgh Imaging Facility QMRI and collaborators from USA and Japan
Requirements:
PhD in electrical engineering, computer science or related discipline
record of international publications demonstrating prior experience in one or more of machine learning, computer vision, medical image analysis
good programming skills and strong mathematical background
good communication skills and ability to work within a team
Informal enquiries to Dr. Sotirios A Tsaftaris (S.Tsaftaris@ed.ac.uk and http://tsaftaris.com)
About Edinburgh
Edinburgh, the capital of Scotland, offers a vibrant professional life, excellent career opportunities and a high quality of life. It has a beautiful old part, has an abundance of café’s, restaurants and bars, and yearly hosts the Festival and the Fringe, which is the largest arts gathering in the world.
Salary: £33,199 - £39,609 per annum
Closing date is Wednesday 5 June 2019 at 5pm
Vacancy Ref: 047792
To apply go here:
https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.jobspec?p_id=047792

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Research fellow, tenure-track, Technology and Social Change, Linköping University, Sweden

Dear colleagues,

We have one further position to announce which should be of interest for our community: A research fellow in Technology and Social Change, Linköping University, Sweden, with an initial 4-year contract and the possibility to be turned into a permanent position after this time. A completed PhD is a requirement for application.

The initial task of the research fellow will be to contribute to ongoing research projects at the division with a focus on social science perspectives on energy systems, digitalisation and urban low-carbon transitions as well as the role of households in smart grids and smart energy systems. In the longer term the appointee is expected to develop own projects and obtain external research funding.

In particular we are looking for researchers with competence in qualitative social science research within fields such as science and technology studies, innovation studies, human geography, urban and regional studies, or related subjects.

For more information and application see:
https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=11335&rmlang=UK

Research and education at Tema T – Technology and Social Change, Linköping University, deals with how technology is developed and used in social contexts, as well as how technological change helps shape and is shaped by cultural, political and economic processes in society. The positions are part of the research group 'STRIPE - Socio-technical research of infrastructures, politics and the environment’. Application deadline is 17 June.

I would also like to remind you of two other open positions in this field at our department - a PhD position (closing 10 June) and a postdoc position (closing 3 June):
PostDoc position on transformative innovation policies and smart cities at Linköping University, Division of Technology and Social Change, Sweden. Deadline for applications is 3 June 2019. We are looking for candidates with experience within studies of innovation policy or smart and sustainable cities from a socio-technical perspective, or more generally science and technology studies, innovation research or environmental governance.

The main task of the postdoc will be to carry out research within the ’Swedish Transformative Innovation Policy Platform (STIPP)’. The platform brings together some of the strongest research environments and policy makers in the field of innovation and sustainability transitions in Sweden. The empirical focus of the postdoc project will be on smart and sustainable cities and will investigate how Swedish innovation policies can contribute to transformative change in cities.

For more information and application, see:

https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=11053&rmlang=UK

PhD position on biogas strategies and regional development at Linköping University, Division of Technology and Social Change, Sweden. Deadline for applications is 10 June 2019. We are looking for candidates within social and environmental sciences, science, technology & innovation studies, geography or related interdisciplinary backgrounds.

Research within the announced PhD position will be carried out within the Biogas Research Centre (BRC), which is a ten-year research programme aiming to develop a strong national competence base for the research and development of biogas solutions. The PhD project will study the development of political instruments and local and regional strategies for biogas development in Sweden and internationally. The project also includes the development and evaluation of future scenarios of alternative biogas strategies and policies. Research will be carried out in close collaboration with representatives of public authorities, companies and branch organisations.

For more information and application, see:

https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=11256&rmlang=UK

Best regards,
Harald Rohracher
______________________________
Harald Rohracher
Professor
Linköping University

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PhD positions in Neuromorphic machine learning, AI and robotics for chemical sensing
Biocomputation Group
University of Hertfordshire
UK

We are seeking candidates who want to join an international team of researchers with the goal to push the boundaries of chemical discovery. We use machine learning, AI and robotics to develop new methods for chemical sensing (electronic noses), gas-based navigation in robots, and knowledge discovery in chemical space.

Our group leverages a new kind of computing hardware, so called neuromorphic systems, to translate processes from the brain into algorithms for efficient computing. We take inspiration from neuroscience to develop massively parallel, event-based, and power-efficient algorithms for machine learning, inference and control.

Possible project topics include:
* Bio-inspired signal processing and pattern recognition for chemical sensing,
* Gas-based navigation for robots,
* Deep learning for fragrance and aroma discovery,
* Computing on neuromorphic hardware.

Candidates with diverse skill profile are most welcome, e.g. with a background in:
* Machine learning and AI, or
* Neuroscience and neural computation, or
* Signal processing and computer engineering, or
* Fragrance/aroma chemistry and computational chemistry methods .

Successful candidates are eligible for a research studentship award from the University (GBP 15,009 per annum bursary plus payment of the student fees). Applicants from outside the UK or EU are eligible, too.

Please contact Dr Michael Schmuker for informal inquiries (m.schmuker@biomachinelearning.net ).

Application forms and instructions how to apply are available under http://www.herts.ac.uk/apply/schools-of-study/computer-science/our-research/the-phd-programme-in-computer-science .

The short-listing process will begin on 1 July 2019.


—
Dr Michael Schmuker AFHEA
Reader in Data Science
Biocomputation Group
University of Hertfordshire
https://biomachinelearning.net

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4 PhD positions in Advanced Networks and Cyber Physical Systems for Smart Manufacturing

PhD studentships are open immediately for application, to pursue research within the overall scope of the SFI Confirm Research Centre. More detail on the centre research structure and programme can be found here: https://confirm.ie/research/

Applicants should hold a good honours undergraduate or Masters degree in computer science, computer engineering, telecommunications, or other relevant research areas. Ideally, applicants will be able to demonstrate an interest in both theoretical analysis and practical network and system design skills, with a keen interest in wireless networked systems, cyber-physical (manufacturing) systems, industrial Internet of Things and related areas. We are especially interested in candidates with knowledge of computer network design, simulation and analysis, wireless sensor networks, cyber-physical system design and analysis, and 5G network design for machine type communication.

More Info

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Postdoctoral Research Associate position at the Soft Materials Group
The University of Tennessee has an immediate opening for a Postdoctoral Research Associate position at the Soft Materials Group.

The group includes researchers from the Department of Chemistry and Department of Physics and Astronomy at UT Knoxville and from the Oak Ridge National Laboratory. The main topics of the group are physics and physical chemistry of polymers and nano-composite materials, ionic liquids and polymer electrolytes. Research will center around experimental studies of ionic liquids and polymer-based materials, and soft matter dynamics in general. Candidate must have a PhD in Physics, Materials Science or a closely related field. Documented knowledge of dielectric spectroscopy and/or rheology, and experience with their use are required. Additional knowledge of light scattering, neutron scattering, or scanning probe microscopy is beneficial. The candidate should be able to work independently and participate creatively in refining project directions. Previous postdoctoral experience is important. However, applicants should be not more than 5 years after PhD.



Interested applicants should send their three letters of recommendation to Prof. Alexei Sokolov, sokolov@utk.edu and apply for the position by going to the HR website: https://hr.utk.edu/staff-positions/. The search starts immediately and continues until the position is filled.

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Seeking a Postdoctoral Researcher or Research Scientist

Laboratory
Materials Dynamics Laboratory
Photon Science Research Division
RIKEN SPring-8 Center
(Associate Chief Scientist: Alfred Baron)

Research Field
The focus of the laboratory is the dynamics of materials on meV energy scales (THz frequencies) and atomic length scales, as measured using inelastic x-ray scattering. The largest project of the lab is the design, construction and commissioning of a new and uniquely powerful beamline for inelastic x-ray scattering. It should provide unprecedented capability to measure both atomic dynamics and electronic excitations with high resolution. Other projects include investigation of phonons in multiferroics, correlated-electron materials, especially superconductors, liquid dynamics, elastic constants of materials under pressure, and development of instrumentation, especially x-ray optics.

Job title and Job description
Job Title: Postdoctoral Researcher or Research Scientist (one position)
Task content: The Laboratory has recently commissioned world-leading spectrometers for measuring atomic and electronic dynamics (~1 and ~30 meV resolution, respectively). Potential research directions include investigation of magneto-elastic coupling, correlated materials, ferroelectrics, and, possibly, liquid dynamics. Extensive off-line facilities are available, in addition to the facilities of a premier operating synchrotron (SPring-8) and free-electron laser (SACLA).

More Info

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Dear friends and colleagues,
We are looking for a post-doc fellow to join our lab.
The focus is on cognitive computational neuroscience principles applied to the study of human drug addiction and related disorders of self-control.
Documented experience with fMRI and computational advanced analyses/modeling, inclusive of machine-learning using natural/big/multi-scale data, is a pre-requisite.
Ability to be collaborative within a dynamic multi-disciplinary group is also necessary.
Please ask any interested individual to send me their CV and please do not hesitate to distribute!
Thank you
Rita

Rita Z. Goldstein, PhD
Professor
Department of Psychiatry (primary)
and Department of Neuroscience, Friedman Brain Institute (secondary)
Chief, Neuropsychoimaging of Addiction and Related Conditions (NARC) Research Program
http://icahn.mssm.edu/research/narc/about
Follow us on Twitter: https://twitter.com/bic_ismms
Icahn School of Medicine at Mount Sinai
Gustave L. Levy Place, Box 1230
New York, NY 10029
e-mail: rita.goldstein@mssm.edu

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PhD and Postdoc positions on face processing @ UniFR, Switzerland

Starting date: between October 2019 and February 2020





The Applied Face Cognition Lab (Department of Psychology, University of Fribourg, Switzerland) studies individual differences in human face processing at various levels of processing using multiple techniques. Collaborating with different international police agencies to bridge the gap between the lab and real world, the lab’s aim is to advance our understanding of the mechanisms underlying superior face processing abilities.





Skilled and motivated individuals with overlapping research interests and relevant experience (background in neuroscience, psychology, biomedical science, computer science, or related area) are encouraged to apply to join the lab. In addition to a genuine interest in vision and cognitive neuroscience, the ideal candidate has skills in programming and data analysis, and a high level of written and spoken English. Experience with psychophysics and/or neuroimaging, and strong quantitative skills are a plus. Successful applicants are curious, solution-oriented and collegial, and will develop and conduct studies in the field of translational cognitive neuroscience.





Application documents should include a personal statement detailing qualifications, career goals and research interests related to superior face processing, as well as contact details of up to people who could provide reference letters. Applications will be accepted until positions are filled. For informal inquiries please contact meike.ramon@gmail.com; Meike will be at ECVP and available to talk to interested candidates.





---
Meike Ramon, PhD
SNSF PRIMA Fellow and Group Leader
- Applied Face Cognition Lab -

University of Fribourg
Department of Psychology
Faucigny 2
1700 Fribourg
Switzerland
Tel : +41 26 300 7533
Fax: +41 26 300 9712
Email : meike.ramon@gmail.com

www.meikeramon.com

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Post doc opportunities at Nancy, France

Two post doc positions are offered within the project Artificial Intelligence against Heart Diseases (https://aihd.loria.fr/tasks.html), funded by Lorraine University, France.
Details and contacts just below

Postdoc position in machine Learning / deep learning
We are looking for a motivated candidate to work on machine learning for the atrial fibrillation diagnosis based on short ECG recordings from a mobile device. This position will involve medical data preprocessing and classification tasks, in collaboration with researchers from the LORIA and the IADI.

Candidate profile: PhD in computer science or a related field. Good knowledge of machine learning and deep learning. Programming skills and working knowledge of deep learning frameworks (keras, tensorflow...) would be appreciated, as would an interest for medical applications and interdisciplinary research.Duration: 12 months
Start date: September 2019
Location: LORIA, Nancy

Contact: Fabien Lauer (fabien.lauer (at) loria.fr)

Postdoc position in signal processing / medical data analysis / statistics
We are looking for a motivated candidate to work on feature extraction for the non-invasive prediction of catheter ablation outcome in persistent atrial fibrillation. This position will involve preprocessing raw data and extracting relevant features for the subsequent classification task, in collaboration with researchers from the IADI and the IECL.

Candidate profile: PhD in signal processing/applied mathematics or a related field with a solid background in statistics. Good programming and data manipulation skills are expected. Knowledge of machine learning would be appreciated, as would an interest for medical applications and interdisciplinary research.

Duration: 12 months
Start date: September 2019
Location: IADI, Nancy

Contact: Julien Oster (julien.oster (at) inserm.fr)

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DEEP LEARNING POSTDOC POSITIONS IN LIFELONG LEARNING AND GENERATIVE MODELS IN BARCELONA

We are seeking a postdoc to join the Learning and Machine Perception (LAMP) team in beautiful Barcelona.

The position is for 2 years (with an optional 1-year extension). The position will remain open until a good candidate is found. LAMP is in the Computer Vision Center at the Universitat Autònoma de Barcelona and performs research on active learning, continual learning, few-shot learning, generative models, encoder-decoder networks, self-supervised learning, etc.
The position is on an industrial sponsored project with 2 postdocs and four PhD students. The subjects include lifelong learning (continual learning), generative models, network compression, multi-model data representation learning.

PROJECT SUPERVISOR & HOSTING GROUP
Joost Van de Weijer will be the supervisor. He is the leader of the Learning and Machine Perception (LAMP) team at the CVC. For more information on the LAMP team visit:http://www.cvc.uab.es/lamp/

CANDIDATE ’S PROFILE
The candidate should possess a PhD in computer vision or machine learning, and have a strong publication record. We are looking for candidates who have publications in the top conferences CVPR, ECCV, ICCV, NIPS, ICML, or ICLR. The candidate should have a background in machine learning and deep learning. The applicants are expected to be fluent in both oral and written communication in English. They should work well in a team while demonstrating initiative and independence. The candidate is expected to supervise PhD students.

THE COMPUTER VISION CENTER
The selected candidate will work in the Computer Vision Centre (CVC), Barcelona, a research institute comprising more than 100 researchers and support staff, dedicated to computer vision research and knowledge transfer. With a strong international projection and links to the industry, the Computer Vision Centre offers an exciting environment for scientific career development. The Computer Vision Centre has a plan for expansion of its permanent research staff base, and has received the “HR Excellence in Research” award as a provider and supporter of a stimulating and favorable working environment.

RESEARCH CONTACT
If you are interested in the position, please contact Dr. Joost van de Weijer for more information and applications (joost@cvc.uab.es)

FUNDING CONDITIONS
Living allowance of 30-40k€/year (gross salary) depending on experience.

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Direct Doctorate Fellowship in Yeast Molecular Genetics

A Direct Doctorate (PhD) scholarship funded by the São Paulo Research Foundation (FAPESP) is available at the Bioenergy Research Institute (IPBEN) affiliated with Rio Claro Biosciences Institute of São Paulo State University (IBRC-UNESP) under the mentoring of Dr. Ana Paula Jacobus (www.yeastevolution.com).

The selected candidate will develope research in the context of the Young Researcher project “Collaboration Network: Modern Genetic Approaches to Enhance Yeast Tolerance to Enriched Lignocellulosic Hydrolysates”. This project raises the question of how tolerance to lignocellulosic hydrolysate inhibitors used in the production of second generation ethanol, can be improved in yeast Saccharomyces cerevisiae by the use of modern tools of molecular genetics and synthetic biology.

To address this important issue, we established a collaborative axis between the groups belonging to the Bioenergy Research Institute (IPBEN, UNESP), the Brazilian Laboratory of Ethanol Science and Technology (CTBE), University of São Paulo USP) and the University of Queensland, Australia. Experimental approaches such as alternative protocols for adaptive laboratory evolution, mapping of quantitative traits, new generation sequencing, flow cytometry assisted competition and phenotyping tests will be used to discover the genetic basis of yeast tolerance to the hydrolysate rich in inhibitors (LCH) of sugarcane bagasse. Thus, using modern molecular genetic tools and the CRISPR / Cas9 genome editing technology, a yeast strain resistant to the toxicity of the lignocellulosic hydrolysates will be constructed and suitable for the production of cellulosic ethanol.

Requirements

The candidate for the Direct Doctorate position must have, or be finishing, graduation in areas related to biology, microbiology, genetics or biochemistry. In compliance with the rules of FAPESP (http://www.fapesp.br/278#6), the candidate must have a graduation recently completed and within the normal term, with an excellent academic record and, preferably, successful stage of Scientific Initiation. Alternatively, the candidate can be transferred from the MSc to PhD. Candidates with full masters cannot be considered.

The selected student will be enrolled in the integrated Bioenergy Doctoral program offered jointly by the three main universities of São Paulo (UNESP / UNICAMP / USP). Therefore, the candidate must conform to the formal selection criteria required for joining the program (http://sites.usp.br/phdbioenergy/applications/). The PhD program in Bioenergy is internationally oriented with classes lectured in English by videoconference.

Subscription

The application should be sent to Dr. Ana Paula Jacobus (anapjacobus@gmail.com). The application package should contain:

1- Letter of motivation (cover letter);
2- Updated curriculum;
3- List of technical skills (i.e., what the candidate masters of techniques in the laboratory);
4- Names and e-mails of two academic references;
5- Graduation school record.

Applications will be accepted and analyzed until 08/01/2019. The start of the scholarship is planned for the second half of 2019.

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PhD Student in the field of thermoplastic shaping of ceramic materials using FDM/FFF printing

For a national project funded by SNF we are looking for a highly motivated student with master degree and a strong background in ceramic, preceramic polymers, additive manufacturing and flow simulation. The project focus is on the development of 3D printing of ceramic materials with commercial polymer filament printers (FDM printer) to achieve large structures without deformation.



Your Tasks

Explore and develop polymeric binders for large ceramic structures
Extrusion and 3D printing thermoplastic based ceramic based filament materials
Rheological characterization and simulation of the flow behavior during extrusion of ceramic feedstocks
Kinetic modelling of thermal treatment
Characterization of crystalline materials by Rietveld refinement

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Research Associate/Fellow (Fixed-term)

Applications are invited for the above position offered in the Membrane-Based Separation Technologies team in Engineering, University of Nottingham. The Faculty of Engineering involves over 250 academic and provides state-of-the art experimental and computational facilities.

The proposed research is innovative, high risk-high gain and expected to lead to high quality publications and industrial applications, making this an ideal training opportunity for future industrial or academic career. The researcher will join a vibrant and supportive research team. The purpose of this role is to conduct research in an EPSRC funded project “Origami-enabled super compaction of membranes” from Adventurous Manufacturing Call. The project team will interact closely researchers from School of Mathematics.

The candidate will conduct research into synthesis of metal organic framework films, develop electrochemical atomic layer deposition procedure, apply design of experiment rules, conduct state-of-the-art characterisation, and study compaction behaviour.

Candidates must have an excellent understanding, and preferably direct experience, of one or more of the following areas: metal organic frameworks, membrane development and electrochemical atomic layer deposition (EC-ALD). Candidates must hold a PhD degree or equivalent (obtained or thesis submitted) in chemical engineering or material science/engineering. In addition, they should have good organisation skills, interpersonal skills and communication skills and the ability to work in a team.

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Research Associate/Fellow in advanced statistical modelling and machine learning applied to epidemiology of bacterial infection and antimicrobial resistance (fixed term)

Applications are invited from research scientists for the above post in the School of Veterinary Medicine and Science to join an exciting project dealing with antimicrobial/antibacterial resistance (ABR).

The successful candidate will work closely with an interdisciplinary and international team of academics and industrial partners. The project offers a unique combination of expertise in machine learning, statistical and mathematical modelling, bioinformatics, sequencing, cloud computing, microbiology, infection control, food safety, surveillance, epidemiology.

The applicant must have a PhD (or be very close to completion), preferably in epidemiology or data science. Alternatively, the candidate must have a PhD (or be very close to completion) in statistics, mathematics, machine learning, or computational biology. In-depth expertise in the use of advanced statistical modelling and machine learning for data analysis in biological problems, preferably related to epidemiology of infectious diseases and antibacterial resistance is essential. Strong proficiency in programming/software development is required. Experience/expertise in the following subjects would be desirable: use of deep learning for data analysis, use of advanced statistical modelling and machine learning for the analysis of bacterial whole genome sequencing data and metagenomic data; development of diagnostics or forecasting tools; development of surveillance/monitoring solutions for infectious diseases.

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PhD student position in deep learning and optimization

At the department of Electrical Engineering research and education are performed in the areas of Communication and Antenna systems, Systems and Control, Computer vision, Signal processing and Biomedical engineering, and Electric Power Engineering. Our knowledge is of use everywhere where there is advanced technology with integrated electronics. We work with challenges for a sustainable future in society of today, for example in the growing demands concerning efficient systems for communications and electrification.

We offer a dynamic and international work environment with about 200 employees from more than 20 countries, and with extensive national and international research collaborations with academia, industry and society.

The department provides about 100 courses, of which most are included in the Master’s Programs ”Biomedical Engineering”, “Electric Power Engineering”, ”Systems, Control and Mechatronics” and ”Communication Engineering”.

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PhD student position in UHBR engine nacelle installation

This PhD project will be conducted at the research group turbomachinery and aero-acoustics in the division. This group has long-term expertise on future engine concept designs as well as multi-objective design optimization of compressor blades, rotorcraft aerodynamics, compressor design, unsteady aerodynamics and aero-acoustics on propeller blades, aerodynamic/performance optimization, computer programming. Special emphasis is on radical aircraft configurations, such as intercooler concepts, or boundary layer ingesting concept. The research on detailed turbulence characteristics (e.g., turbomachinery, jet flows and noise) has developed and applied the CFD methods and tools for DNS, LES, hybrid RANS/LES, unsteady-RANS, RANS, linearized Navier-Stokes equations, turbulence modeling, semi-empirical stochastic modeling, numerical schemes, finite volume method, finite element method, boundary element method, coupling approaches for fluid-structural interaction, shape optimization, and active flow and noise control strategies. The methods and tools developed by us have been incorporated into our in-house codes (G3D::Flow, etc.,), open-source codes (OpenFOAM, etc.) and commercial soft wares (ANSYS, STAR-CCM+, etc.).

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PhD student position in Computational Catalysis

Major responsibilities
Research at a 90-100% level where the remaining part is teaching and departmental work.
Your major responsibilities are to pursue your own doctoral studies. You are expected to develop your own scientific concepts and communicate the results of your research verbally and in writing.

Position summary
Full-time temporary employment. The position is limited to a maximum of five years.

Qualifications
The successful candidates should have:
(1) Master of Science in Physics, Chemistry or Materials Science
(2) Good communication skills in written and spoken English
(3) Able to work independently and take responsibility for progress and quality of the project
(4) Candidates with experience in computational/theoretical physics and chemistry are meritorious.
(5) Experience in programming

To qualify as a PhD student, you must have a master's level degree corresponding to at least 240 higher education credits in a relevant field.

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PhD-student in the field of Advanced experiments in spray drying (V37.3937)


Job description
To meet the goals of the Dutch climate agreement the industry will need to greatly reduce their greenhouse emissions. One way of doing this is by reducing the energy requirements for the different industrial processes. Of these processes, the drying process is especially energy intensive. A method that is often used in the food industry is spray-drying. This is a method where the fluid is sprayed through hot air in order for it to dry. It is used to turn, for example, fluid milk products into functional powders. By developing a fundamental understanding of the complex fluid dynamics inside the nozzle as well as in the liquid sheet breakup, the EEMS project aims to formulate recommendations for design and operational principles to optimise the spray drying process. "EEMS”, which stands for Energy Efficient Milky Sprays, is a collaboration of the Institute for Sustainable Process Technology, Friesland Campina, Danone/Nutricia, DSM and TU/e. Together they will study the effects of high solids content and of the main constituent components of model liquids on atomization efficiency of the nozzle. Ultimately this will lead to recommendations for design and operational principles to optimise the spray drying process.

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2 Ph.D. positions and 1 PostDoc position (f/m/d)


YOUNG RESEARCHERS HEIDELBERG
Structural and Cell Biology
Job Code: Code number 10/2019

Job Offer from May 17, 2019
At the Max Planck Institute for Medical Research, one of the 84 institu-tes of the Max Planck Society for the Advancement of Science, physicists, chemists and biologists create knowledge of long-term relevance to life and basic medical sciences. The Max Planck School Matter to Life, one of three pilot schools, is coordinated at the institute as well.

Two Ph.D. positions and a PostDoc position are available in the group of Dr. Thomas Barends at the Max Planck Institute for Medical Research in Heidelberg. The positions are funded by the European Research Council.

Successful applicants will join an international, interdisciplinary team to work on the elucidation of the biosynthesis pathway of ladderane lipids. Ladderanes are highly unusual hydrocarbon moieties with linearly concatenated cyclobutane rings, found in the membranes of bacteria performing anaerobic ammonium oxidation (“anammox”).

How these complicated molecules are produced is unknown: How do the enzymes involved assemble such intricate carbon skeletons? How do they control the complex stereochemistry involved? How do they overcome the ring strain inherent in these molecules? The successful candidates will be answering these questions using an array of methods including biochemistry, chemical biology, metabolomics and structural biology.

Applicants should hold a Master’s degree (a Ph.D. degree for the PostDoc position) or equivalent in chemistry, biochemistry or biology and enjoy practical lab work. The available topics are diverse but include iron-sulfur cluster proteins and lipidomics, so candidates with experience in these fields are particularly invited to apply.

The Max Planck Society is com-mitted to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals. The Max Planck Society strives for gender and diversity equa-lity. We welcome applications from all backgrounds. A daycare center for children is located near the institute.

For further information, please contact Dr. Thomas Barends (Thomas.Barends@mpimf-heidelberg.mpg.de).

For general questions, please contact Ms. Sabrina Giacalone (0049 6221 486 – 305), or Mrs. Fabienne Höfer-Elfner (0049 6221 486 – 311) from human resources.

Please submit your application, including a cover letter (explaining background and motivation), your CV, complete transcripts for Ph.D. candidates and the names and addresses of one or more references as a single PDF file with the above reference via e-mail, preferably before June 20, 2019.

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2019 IBM PhD Fellows!

We are pleased to announce the 2019 IBM PhD Fellows!

About the program
Strong collaboration with faculty, students and universities is vital to IBM. The IBM PhD Fellowship Program advances this collaboration by recognizing and supporting exceptional PhD students who want to make their mark in promising and disruptive technologies. Focus areas include the following topics of particular interest:


• AI / Cognitive Computing
• Blockchain
• Cloud Computing
• Data Science / Big Data / Analytics
• Internet of things
• Quantum Computing
• Security

Since the creation of the IBM PhD Fellowship Program in 1951, we have supported thousands of PhD students -- with more than 700 students supported over the past 10 years alone.

More Info
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