One post-doctoral position is available within the research project "Design and control methodologies for grid-tied power quality interfaces for cooperative operation in smart grids". The main goal of this research is to study and develop methodologies to design and control power conditioners that will be cooperatively associated to compensate power quality disturbances (asymmetries, harmonic distortion etc.) in the voltages of distribution grids with distributed generators. The methodologies proposed will be validated through simulation and also experimental results, for which small-scale prototypes will be applied.
This project is linked to the Collaborative Research “Interdisciplinary Research Activities in Electric Smart Grids”. Activities will take place at the School of Electrical and Computer Engineering, State University of Campinas (FEEC/UNICAMP), Campinas, Sao Paulo State, Brazil; in collaboration with the Sorocaba Institute of Science and Technology, Universidade Estadual Paulista (ICTS/UNESP), Sorocaba. Sao Paulo State, Brazil.
Desirable Skills: The candidate must have excellent development skills and experience with simulation tools for electrical circuits and power electronics, as well as hardware and development skills (converters, drivers, signal conditioning, programming of microcontrollers and DSPs, etc.). Moreover, the candidate must have abilities to model, analyze and design different power electronic converters and their respective current and voltage controllers. Additionally, good communication skills in English and Portuguese are mandatory.
How to Apply: Applications will be made exclusively by e-mail, with the documentation attached. Applications should be directed to Prof. Dr. José Antenor Pomilio using the "Apply for this job" button with copy to Prof. Fernando Pinhabel Marafao (fernando.marafao@unesp.br). For application, please attach to the mail: i) Motivation Letter, ii) Two reference letters; iii) Curriculum Vitae with published articles and evidencing the abilities to conduce the project.
Selection: The selection will be made primarily based on: (1) the curriculum of the candidates and on the motivation letter and (2) by a personal or video conference interview with selected candidates, where the abilities in the issues will be verified and other commonalities will be discussed.
This opportunity is open to candidates of any nationalities. The selected candidate will receive a FAPESP’s Post-Doctoral fellowship in the amount of R$ 7,174.80 monthly and a research contingency fund, equivalent to 15% of the annual value of the fellowship which should be spent in items directly related to the research activity.
The Senior Attending Physician - Orthopedics is responsible for the delivery of high quality evidence-based care; effective and efficient diagnosing, managing and treating all patients placed under the role holder’s care. The incumbent makes recommendations, orders appropriate therapeutics and diagnostics, and performs appropriate procedures as per the patient’s diagnosed condition. The Senior Attending Physician - Orthopedics is also responsible for providing guidance to less experienced colleagues.
Assesses and reassesses inpatients and/or outpatients on a regular basis, in line with established best practice.
Actively participates in interdisciplinary meetings to help plan effective, safe, and holistic care for individual patients.
Reviews results of all investigations, develops and modifies treatment as required, provides guidance to less experienced colleagues.
Performs procedures and operations that are indicated based on best practice and are in the best interest of the patient.
Assists in supervising activities of junior medical staffs and jointly assumes responsibility for patient care.
Responsible for the delivery of high quality evidence-based care and services within specialty area.
Conducts Ward rounds, reassesses inpatients and/or outpatients on a regular basis, in line with established best practice.
Regularly reviews results of all investigations and modifies treatment as required.
Provides clinical excellence by effective and efficient diagnoses, manages, and treats all patients placed under post holder’s care.
Delivers safe, effective, and holistic clinical services within accepted standards of care.
Performs procedures and operations that are indicated based on best practice and are in the best interest of the patient.
Accurately documents all relevant clinical information in a clear and timely fashion in accordance with established procedures.
Supports, implements, and follows all hospital, departmental and divisional initiatives, policies and procedures.
Liaises with colleagues, Allied Health staff, nursing, administrative and support services staff for additional input as required.
Complies with all hospital polices regarding admissions, consultations, daily patient care, surgical procedures, discharge protocols, outpatient and follow up practices.
Practices appropriate utilization of the organization’s resources.
Demonstrates an active interest in educating and fostering future academic leaders nationally and internationally through active participation in education initiatives.
Demonstrates an active interest and involvement in research by initiating innovative clinical or research outcomes or collaborating on research projects to support the Sidra vision.
Demonstrates commitment to Continued Medical Education (CME).
Keeps abreast of the current, relevant literature and the latest trends and technologies in the industry.
Supports and participates in the organization’s performance management, including peer reviews and the productivity and utilization review processes.
Performs other clinical responsibilities as assigned.
Provides care to all pediatric Orthopedic surgical patients in Qatar regardless of location i.e. neonatal ICU, pediatric ICU, fetal maternal unit, emergency department, trauma bay, outpatient clinics etc., Sidra or Hamad Medical Corporation as ‘one program multiple sites’
Adheres to Sidra’s standards as they appear in the Code of Conduct and Conflict of Interest policies.
The project ”SpaceShift – drivers and effects of spatial shifts in early life stages of marine fish” (financed by the Research Council of Norway) has a vacant 3-year PhD position. The main objective of SpaceShift is to investigate how climate and demographic effects of fishing influence the spatiotemporal distribution of eggs and larvae in the Barents Sea, and in turn how this together with marine climate impacts growth and survival until recruitment to the stock. The PhD will focus on the development and application of a biophysical model addressing interactions between larvae and juvenile fish with key prey items under varying climate and fisheries conditons. The PhD will also analyze spatiotemporal observation data statistically and incorporate results in the numerical modelling.
The position is located in the research group “Ecosystem processes” at IMR and the main workplace will be in Bergen. However, the candidate will be enrolled as a student at the Centre for Ecological and Evolutionary Synthesis (CEES), University of Oslo, benefit from joint supervision from both IMR and CEES, and spend in total up to about 1/3 of the time at CEES through the project period.
We offer:
The institute offers governmental regulated salaries as 1017 PhD Research Scholar presently starting at gross income NOK 474 700 (appr. 52 000 Euro per year). 2 % of the gross salary is deducted in favour of the state pension fund (Statens pensjonskasse).
Additional Information:
For further information please contact Frode Vikebø, (e-mail: frovik@imr.no ) tel. + 47 93 87 22 38, or visit our web site at www.imr.no
Applications should include a cover letter summarizing relevant skills and reasons to apply for the position, a complete CV, publication list, copies of peer reviewed publications, three references and transcripts of academic degrees.
Applications should be sent using the link on this page.
The Institute of Marine Research (IMR) in Norway has an opening for a permanent position as research scientists in the cross-disciplinary research group on Fishery Dynamics. The principal areas of research will include statistical analysis of fisheries and ecological data, statistical survey sampling methods, including survey design and estimation methods, and the development of mathematical/statistical tools for stock assessment and the quantification of uncertainty.
The successful candidates will work in multidisciplinary projects that require the use of a variety of statistical and mathematical methods to study the distribution, abundance and dynamics of exploited fish species, and quantify catch composition and impact of fishing on marine ecosystems. The group works within an informal, interactive research atmosphere that provides opportunity for individual growth and advancement. Extensive research collaboration with national and international institutions is expected and encouraged.
We offer:
The salary will be negotiable within the Norwegian Public Service pay scale for research scientist 1109 and commensurate with experience. We offer a challenging and creative work environment, flexible working hours, a pension scheme through the Norwegian Public Service Pension Funds, and other welfare benefits (See http://www.spk.no/no/English for more information)
Additional Information:
IMR is an “Including Working Life Enterprise” concerned with diversity and therefore encourages all qualified candidates to apply. Please note that information about applicants may be made public even if an applicant has requested to be exempted from the list of applicants.
Applicants will be notified about this in advance.
Please apply electronically using the link on this page, attaching a short letter of motivation, the names and contact details of at least two references, your CV with a list of publications, transcripts or other documentation to support your educational claims in statistics/quantitative sciences, and a selection of your most relevant publications in pdf.
For more information please contact the Head of the Fishery Dynamics Research Group, Jon Helge Vølstad, email: jonhelge@hi.no, phone: +47 469 29 039, or Senior Research Scientist Edvin Fuglebakk, email: edvin.fuglebakk@hi.no, phone: +47 411 45 589. You can also visit our web site at www.imr.no.
Within the project „Development and Calibration of Quick Methods for Analysing Plant Nutrients in Slurry” we are offering the following position:
Scientist for Spectral-optical Determination of Slurry Composition
The project aims to test and further develop quick and cost-efficient methods for quantifying plant nutrients in liquid organic manure. These methods include colorimetric tests, ion-selective electrodes, capillary electrophoresis, cation / anion absorbers, and optical spectroscopy. The project under the lead of the University of Applied Sciences Osnabrück is funded by the Deutsche Bundestiftung Umwelt (German Environment Foundation) and includes three partners. The ATB is responsible for the sub-project “spectral-optical sensor technology”. Vis, NIR, and MIR spectrometers will be used to determine pH, dry matter, Ntot, NH4-N, P, K, Mg, Ca, S, Cu und Zn. Data from analysis with reference methods will be provided by the project partners.
Your responsibilities
Development of measurement setups and conduction of measurements with lab-grade and low-cost spectrometers
Chemometrical data analysis including:
Data pre-treatment (data base, filtering, drift check, alignment)
Selection of relevant wavebands (variable selection)
Implementation of robust calibration functions
Scientific presentation of research results
Support of project management (report writing, documentation, project meetings, purchasing)
We offer
We offer the option to obtain a PhD degree. PhD courses are available from our partner universities in Potsdam and Berlin. Supervision can be obtained in house from Prof. Weltzien, Head of Dept. 4 at the ATB and Chair of “Agromechatronics” at the Technical University of Berlin.
The temporary position is limited until 36 months. Salary amounts up to pay grade 13 TV-L, 50 %, in case of PhD-students with 65 % employment (26 hours per week). The actual salary depends on the qualification.
Further information can be obtained from Dr. Robin Gebbers (Tel.: 0331/5699-413, E-Mail: rgebbers@atb-potsdam.de) and from our web-site www.atb-potsdam.de.
If you are eager to contribute to the interdisciplinary at the ATB please submit your CV and a cover letter as a single PDF document using the "Go to application Page" button. Use the reference number 2018-4-1. Deadline is 31.05.2018.
ATB applies a policy of equal opportunities and accepts applications without discrimination on any grounds. Severely handicapped persons will be particularly regarded.
The FAPESP Thematic Project (2016 / 02018-2) “Interannual variation of Amazon Basin greenhouse gases balance and their controls in a warming and increasingly variable climate - CARBAM - The Amazon Carbon Balance Long-term Study”, coordinated by Dr. Luciana V. Gatti offers 3 Post-doc positons at INPE (National Institute for Space Research), Sao Jose dos Campos, Brazil.
The opportunities are open to Brazilians and foreigners. The selected one will receive Fapesp's Post-Doctoral Fellowship in the amount of R$ 7,174.80 per month, in addition to an additional 15% Technical Reserve. In the initial concession, the duration of the grants may be up to 24 months. There may be renewal for another two periods of up to 12 months each, depend the results/approval of Fapesp, totaling a maximum of 48 months. More information at www.fapesp.br/bolsas/pd#2.2 and http://www.fapesp.br/5389.
1- FAPESP Post-doctorate Fellowship in Atmospheric Chemistry / Greenhouse Gases in Amazon Basin
This post-doctoral fellow will develop his/her research activities in the LaGEE (Laboratory of Greenhouse Gases) at CCST (Earth System Science Center), INPE, under supervision of project principal investigator Dr. Luciana V. Gatti.
The selected will integrate a project team that investigates the consequences and effects of climate change on the Greenhouse Gas Balance of the Amazon Basin, causing changes in carbon absorption and methane emission in Amazon forest, as well as the effects of increased human pressure. This will be done mainly through the regular vertical profiles of greenhouse gases in the atmosphere over the basin, in four locations strategically distributed to represent the Amazon Basin. This project is a part of a program to determine Greenhouse Gas Balance, initiated in 2010, thus completing a decade of this study to better understand the role of Amazon for the Global Carbon Balance and how Amazon is changing with Climate variations and land use change.
Activities to be developed by the fellow will be to calculate the carbon fluxes in the 4 locations studied in the Thematic project and its annual balance, using the method of Mass Balance - Column Integration; study of climatic variables in the Amazon and its correlation with annual balance; determine emissions by burning biomass; to use other tools to interpret the functionality of the Amazon Forest as inversion models; writing scientific articles with the results and Co-orientation of scholarships.
The post-doctoral fellow will develop his/her research activities in the LaGEE (Laboratory of Greenhouse Gases) at CCST (Earth System Science Center), INPE.
Candidates must send e-mail with the title "Pos-Doc CO2 FAPESP LaGEE" to Luciana.gatti@inpe.br, attaching the following files:
1) Curriculum Vitae;
2) Letter describing their professional training and their experience with measures of greenhouse gases, the Amazon and modeling that can be applied in a study of the Carbon Balance;
3) Description of your motivation to participate in this project
4) Provide 3 professional reference names that can be contacted by the judging committee.
2- FAPESP Post-doctorate Fellowship in Modeling a decade of carbon gross emissions from forest fires in the Amazon
This post-doctoral fellow will develop his/her research activities in The Tropical Ecosystems and Environmental Sciences Laboratory (TREES) at the Remote Sensing Division (DSR), National Institute for Space Research (INPE) in “Modeling a decade of carbon gross emissions from forest fires in the Amazon: Conciliating the bottom-up and top-down views of the problem”.
The selected candidate will integrate a project team that investigates the consequences and effects of climate change and human impacts on the greenhouse gas balance of the Amazon basin. The aim of the post-doctoral project within the Thematic Project is answer two questions: (1) What are the main sources (land-cover types) of fire emissions? (2) Are these emissions a result of fires from fast turnover grassland vegetation, with minor impact on the overall atmospheric CO2 accumulation, or are they related to slow turnover forest vegetation, with potentially high impact on the atmospheric CO2 accumulation? To answer these questions the general aim is to systematically quantify annual gross carbon emissions from forests affected by fires at the Amazon biome scale and attribute its relative contribution based on the potential CO2 emission sources from fires. This project is a part of the Thematic program to determine greenhouse gas balance, initiated in 2010, which by 2020 will complete a decade of atmospheric data capable to provide unique information to better understand the role of Amazon for the global carbon balance and how Amazon is changing with climate variations and land use change.
The successful candidate must be fluent in English or Portuguese and have an excellent understanding of forest ecosystem functioning, specially the C cycle and skills in geographic information systems, image processing and computer programming as tools for quantifying gross C emissions from fires in Amazonia. The candidate is expected to dominate the analysis and visualization of scientific data using software or computer languages such as ARCGIS, QGIS, ENVI, Rstudio, PHYTON, IDL that will allow the successful development of the work. Previous experience in Amazonian studies, fieldwork experience, fire emission modeling and willingness to learn Portuguese is desirable.
Activities to be developed by the fellow involve the (1) creation of wall to wall maps of burned area at the end of the dry season using a linear spectral mixing model applied to surface reflectance images from the Moderate Resolution Imaging Spectroradiometer (MODIS); (2) integration of land use and land cover maps with burned areas using the outputs of TERRACLASS project from INPE and separate the different sources of fire; (3) improvement of the computational structure (IDL or translation to other language) of the emissions model to include long-term biomass loss data from forest areas based on field surveys (may involve fieldwork in remote areas of the Amazon); (4) estimation of carbon emissions based on the FATE model adjusted with empirical relationships for biomass losses during fire for different land use types for the studied period; (5) dissemination of results through public lectures, international conferences and research papers. The successful candidate will have the opportunity to supervise graduate scholars at Master and PhD levels. These estimates will be aligned with the atmospheric-based analysis proposed in the project. The final results from the model will be then used for the inter-comparison with the aircraft measurements data.
Candidates must send e-mail with the title "Pos-Doc CO2 FAPESP TREES" attaching the following files:
Presentation letter describing your motivation to participate in this project;
Curriculum Vitae;
Letter describing their professional training and experience with forest ecosystem functioning, specially the C cycle, geographic information systems, image processing and computer programming as tools for quantifying gross C emissions from fires in Amazonia
Provide 3 professional reference names that can be contacted by the judging committee.
3- FAPESP Post-doctorate Fellowship opportunity in Carbon Balance / Greenhouse Gases in Amazon Basin
This post-doctoral fellow will develop his/her research activities in the LaGEE (Laboratory of Greenhouse Gases) at CCST (Earth System Science Center), INPE, under supervision of project PIs Dr. Jean P. Ometto and Dr. Celso von Randow.
The selected candidate will integrate a project team that investigates the consequences and effects of climate change on the Carbon Balance of the Amazon Basin. The aim of the project is to combine estimates of emissions and absorption of carbon based on a high precision 5-year database of vertical profiles of greenhouse gases, with a dynamic global vegetation model to expand our scientific understanding of the processes that control carbon exchange and forest response to regional and global environmental changes, in this strategic ecological region. This project is a part of a program to determine Greenhouse Gas Balance, initiated in 2010, which by 2020 will complete a decade of data capable to provide unique information to better understand the role of Amazon for the Global Carbon Balance and how Amazon is changing with Climate variations and land use change.
The Candidates must demonstrate previous experience in use of land surface / DGVM models, computational programming in Fortran 90 and analysis and visualization of scientific data in NCL or GrADS packages is desirable.
Application:
Please send an email with title "Posdoc FAPESP CCST / INPE" to celso.vonrandow@inpe.br, with the following documents in PDF format:
1) presentation letter describing scientific qualifications and interests
2) short CV
3) indication of 2 names for personal references
4) link to personal page on sites like Research Gate, Google Scholar or Academia.edu, if available.
The use of virtual environments for the development and validation of connected and automated driving functions is currently of growing importance. These virtual environments typically consist of simulation components for vehicles and their environment as well as for control and communication. Such distributed simulations show various requirements including real-time, execution speed and time synchronization in order to avoid anomalies. You will develop suitable concepts for such distributed simulations in different use cases as well as implement and test them in the industrial context.
In the cooperation INI.FAU between Audi and FAU joint research projects are performed. Each project is associated both with a department of Audi and with a research group at FAU, with the goal of receiving a Ph.D. This offers you exceptional work experience both in academia and in industry and exciting further development possibilities.
The research group Genomics of Genetic Resources (GGR) is seeking a highly motivated postdoc to participate in a 3 year international collaborative project (IPK Gatersleben, University of Dundee, University of Minnesota / St. Paul) on barley functional genomics. Based on quantitative transcriptomics and GWAS in a barley diversity collection, we aim at elucidating regulatory gene networks involved in regulating yield related traits. The work builds on cutting edge genomic resources that were in the focus of the research group GGR for the past 10 years.
Your tasks:
You will execute gene expression analysis by RNAseq in 2 (of 6) tissues in approximately 200 genotypes.
You will be involved in phenotyping of seed, inflorescence and/or tiller traits.
You will perform genome-wide association studies (GWAS) and gene network co-expression analysis.
You are ready to take and lead lab-, field-, and computer tasks.
We offer you:
A friendly and productive working atmosphere
An access to an international scientific network in cereal genomics
A project based postdoc position limited to three years starting July 1st, 2018
A gross salary up to E13 TV-L
If you need further information to the position please contact: Dr. Nils Stein (stein@ipk-gatersleben.de).
What you need to know:
For us, your qualifications and strengths count. Therefore, everyone – independent from gender, origin, age, or possible disability – is welcome. The IPK is striving to increase the proportion of women in sectors where they are underrepresented and therefore explicitly encourages qualified women to apply. As an institution which has been awarded the Certificate for Career and Family (“berufundfamilie”), we offer family-friendly working conditions and flexible working hours. The IPK has set a goal to employ more people with disabilities. Qualified applicants with a disability will be given preference.
Your application:
We are looking forward to receive your online application until 01.06.2018. If you have questions or require more information, please do contact Ms. Jacobi. Please indicate the reference number 39/05/18 in your correspondence.
Cellular particle uptake using fast super-resolution microscopy and optical tweezers
Background: Macrophages, as prominent killer cells in our immune system, take up particles (e.g. bacteria) either by cellular protrusions like filopodia or by direct contact of the particle with the flat cell membrane. These different, complex cellular uptake strategies are to be investigated by two PhD students. In both projects similar approaches and technologies will be used, because similar physical rules and related cell mechanical concepts drive the dynamic processes in the cell periphery. Some additional technical goals need to be achieved by both students: the development of novel optical trapping, tracking and imaging methods, which are i) Coherent imaging using 100 Hz label-free ROCS microscopy & multi-scatterer tracking, and, ii) Fluorescence imaging using fast 3D confocal spinning fluorescence microscopy with electro-optical tunable lenses.
1) The first project, about particle binding and uptake at flat membrane areas, is separated into two main objectives: A) Cellular responses before binding: When does a cell sense the particle? B) Multistep uptake and internalization: can particle engulfment be dissected into different mechanical processes?
2) The second project, dealing with the particle binding and uptake mediated by cellular protrusions such as filopodia is divided into two main objectives: C) Feedback controlled filopodia sensing: Can cells self-optimize their response or learn? D) Discontinuous and ultra-fast transport along filopodia and lamellipodia: is the one transport mechanism beneficial for the other?
Both PhD candidates will be funded for 3 years and receive a 66% TVL-E13 salary according to the German civil service collective agreement. Equivalently, Post-Doc positions will be funded for 2 years at a salary of 100% E13.
Bring your talent and enthusiasm for engineered wood and built environment applications
Unique opportunity based in our Rotorua office in New Zealand
Two full-time permanent positions within the Wood and Fibre team
Scion is a Crown Research Institute specialising in research, science and technology development for the forestry industry, wood products and wood-derived materials. We lead new technology development for renewables, bioproducts and energy and the establishment of a broader based bio-economy.
What are we looking for? We would like a scientist who can apply their skills to, promote wood as a complex hierarchical bio-material. You will spark initiatives that can lead to benefits in innovative and sustainable, engineered wood and other bio-products and built environment applications. You will provide expertise and mentorship in the research into new wood science research and be able to communicate effectively externally. Bring your skills and passion and realise a future for wood in new sustainable urban environments.
We want people who are results driven and self-motivated, with a willingness to spend hands-on time in the lab. You will have:
A PhD (or equivalent in some aspect of bio-mechanics, micro-mechanics, bio-physics, structural biology, bio-mimetics, engineered wood or future built environment applications, for the second position a PhD in Physics, building acoustics).
A demonstrated ability in publishing research results in reputable international peer-reviewed journals and a proven track record in the writing and development of external funding applications
Experience supporting and leading research projects to successful outcomes
Excellent communication and collaboration skills to assist in building positive and enduring relationships across Scion and with external customers to enable new product development project success
The ability to design work plans and experimental designs that can be implemented independently or with the help of others
Exceptional organisational skills and a proactive attitude to conducting work
Attention to detail and strong record keeping abilities
A reliable and strong sense of initiative with a proven ability to work in team and to work independently
We are home to creative science minds and have a vibrant culture ensuring employees can pursue innovation and excellence in their science delivery. With our head office based on the edge of Rotorua's world famous Whakarewarewa Forest, Scion also offers an enviable working environment with excellent work/life balance initiatives. Rotorua is one of New Zealand's leading tourist destinations owing to its outstanding natural environment and proximity to coastal beaches and inland lakes, native forests, geothermal areas and volcanic ski-fields.
A stimulating research environment aimed at replacing oil derived products with environmentally friendly natural alternatives
Cutting-edge research developingnew functionalised chemicals, polymers, fibres and composites derived from bio-based materials and renewable resources
An enviable work environment and a demonstrated commitment to Good Employer/ EEO principles.
For a full position description for either role, and to apply online please visit www.scionresearch.com
Closing date: 3 June 2018
Job Details
Crown research institute Scion Reference # 28068 Posted on 09 May 2018 Closes on 03 Jun 2018 23:55 Location(s) Rotorua Expertise Physical Sciences Job level(s) Senior scientist Work type(s) Permanent
At zLabels we create inspiring fashion brands for the online generation, such as Mint&Berry, Even&Odd, Zign and Kiomi. Our data-driven way of doing business means that our decisions are backed up by consumer behaviors and translate directly into relevant product selections. Developed for the digital market from day one, we’re confident navigating the changing retail landscape and take pride in being always fast, always fresh.
We decide with data. Data fuels every business decision here at zLabels and is at the core of our commercial operation - from planning to forecasting and in-season management. Forecasting tools help to determine how much of each product to buy, to recommend the best prices, and to ensure that we have the right level of logistics capacity to fulfil customer demand. We use cutting edge Machine Learning technology to forecast demand and pricing with a focus on business and customer experience.
As a zLabels Data Scientist you will become a critical part of our growing and innovative data team, supporting and shaping our data-driven vision.
YOUR ROLE
As a Senior Data Scientist, you are part of a cross-functional agile team.
You have end-to-end responsibility. You are accountable for all aspects of your work, from data analysis and research, to KPI definition, testing and deployment. You have +3 years of professional experience and you are passionate to drive and develop a great product as part of an agile team.
You support product discovery. You are working with product management and stakeholders to define the scope of data science products. You have great communication skills to translate data science topics to business stakeholders.
You pick the right approach for a given problem. You have a deep understanding of standard Machine Learning methods such as Generalized Linear Models, (Recurrent) Neural Networks, State Space Models (SSMs), in particular how to leverage them to handle temporal data. You’re holding a degree (PhD or M.Sc.) in Computer Science, Mathematics, Statistics or other similar quantitative field.
You know how to deal with data. You have the skills to query, analyze, and cluster data and know how to set up monitoring and data quality assurance.
You bring machine learning systems to production. You collaborate with engineers to translate forecasting prototypes into production systems. You have experience with Python, ML-related libraries, scikit-learn, TensorFlow and big data frameworks such as Spark.
2 Post-Doc contracts are available to join Luisa Figueiredo laboratory at the Instituto de Medicina Molecular in Lisbon. Funding is provided by the ERC (European Research Council).
We are looking for two highly motivated scientists, holding a PhD in life sciences, interested in host-pathogen interactions. We have recently demonstrated that the adipose is a major reservoir of African trypanosomes and that parasite phenotypically adapt to living in this tissue including activation of fatty acid beta-oxidation (Trindade et al. Cell Host and Microbe, 2016). The goal of each project is:
- InOutFat Project: To understand the cellular mechanisms by which parasites enter and egress the adipose tissue. Knowledge of in vivo imaging in animal models is recommended.
- MetaFat Project: To characterize the metabolic adaptation of parasites to the tissue and the metabolic impact of the infection on the host. Knowledge biochemistry and metabolism is recommended.
Both projects involve collaborations with other European laboratories (Italy, Austria, UK and France), which will implicate occasional traveling or short stays abroad.
Positions are available immediately. The contracts will be awarded for two years (with the possibility of promotion and extension upon successful performance). Stipend will be determined according to the candidate’s experience.
Candidates should have first author publication(s) in high profile, peer-reviewed international scientific journals.
Closing date: 22nd June 2018.
Applications should be submitted to Luisa Figueiredo via the application button and must include: a motivation letter, a CV including a statement of the grades obtained during undergraduate and graduate courses and contacts of two references. Letters of reference from qualifying candidates will be requested if necessary. Please refer which of the two contracts you are applying to.
Learn about us: https://imm.medicina.ulisboa.pt/en/investigacao/labs/figueiredo-lab/ https://www.facebook.com/lfigueiredolab/
This interdisciplinary project employs cutting-edge X-ray analytics to develop and optimize strategies for designing nanofibers with hierarchical domains.The aim is to excel biofunctional polymer matrices with hierarchical lipid self-assemblies and deliver nanofibers with stimuli responsive drug delivery propertiesin bio-environment. Small angle scattering and diffraction studies will be extensively used to investigate the role of templating lipids and fine-tune the designing strategies. Synergies with microscopy methods such as TEM and other X-ray based methods such as X-ray µ-Computed Tomography (µ-CT) or Phase Contrast Imaging (XPCI) will be used.
Your Tasks
Apply and develop X-ray scattering methodology to optimize the interactions of lipid self-assemblies with polymers matrix
Leverage the synergies of the interdisciplinary project at the interface of polymer chemistry and biology being in constant exchange with our collaboration partners
Publish results in high impact journal and present your work at international conferences
Information about the department The Department of Space, Earth and Environment contains five divisions, with research and education spanning from global challenges related to sustainability and energy supply to astronomy and space sciences. The department is host to two major infrastructures, Onsala Space Observatory and Chalmers Power Central, and consist of about 250 employees.
The division of Physical Resource Theory divisions carries out research and education on potential solutions to our major environmental challenges, e.g. global warming and sustainable use of land and other resources. At our division we focus on research in the field of technical and socio-economic systems addressing the challenges involved in the transition into a sustainable and low carbon society for a growing population, where a range of different quantitative and qualitative methods can be applied on our research topics. The ambition is to build challenge-driven scientific excellence by crossing traditional boundaries and increase the level of multi-disciplinarity in research. The division has around 40 staff members, faculty and PhD-students with diverse expertise, including engineers, natural and social scientists. We also offer courses in areas related to our research.
Major responsibilities The key challenges with a widespread adoption of electric vehicles (EVs, including plug-in hybrid electric vehicles (PHEVs) and battery electric vehicles (BEVs)) are the costs of the vehicles, and the (real or perceived) lack of sufficient charging options to ensure that EVs do not run out of fuels whenever they are needed. Detailed assessment of these challenges, and designing cost-effective strategies to address them, require the understanding of the interaction of the economy and behavior of individual car owners with underlying factors such as their day-to-day travel activity patterns and charging infrastructure. Data of drive patterns and vehicle usage is critical to improve and support possibilities for the development of the infrastructure and electrical systems.
This postdoc position will explore the opportunity of combining physical models based on real-world driving data with socioeconomic/behavioral models (such as Discrete Choice Models) to better understand the market potentials of Electric Vehicles (EVs) and how policies can be formulated to reduce market barriers and increase the penetration of EVs. The postdoc may also actively develop collaboration with other related projects and research groups, such as the Computer Science Department and the Big Data Group, in combing an agent-based model and the real-world travel profiles and traffic information to estimate the potential infrastructure needs and distribution of EV charging stations, or research within the national electric road platform in the development of assessment of electric roads.
Position summary The position is limited to a maximum of two years with the second year contingent the performance of the first year.
Qualifications To qualify for the position of postdoc you must have a doctoral degree in a relevant field, including (but not restricted to) engineering, social science, and economics. It is also a bonus if your PhD research field is closely related to the project description, particularly with research experience in transport research, behavioral economics or behavioral science, or energy modeling. Documented scientific skills, including demonstrated ability in independent research, publishing in top journals and presenting in international conferences are required.
The position requires sound verbal and written communication skills in English. Chalmers offers Swedish courses.
Chalmers continuously strives to be an attractive employer. Equality and diversity are substantial foundations in all activities at Chalmers.
A postdoctoral position is available in LEGI (Laboratoire des Ecoulements Géophysiques et Industriels, Grenoble, France). The research program concerns the topic of wave turbulence in stratified flows in the framework of the ongoing ERC-funded project WATU (Wave turbulence: beyond the Zakharov spectrum) under the supervision of Nicolas Mordant. Wave Turbulence Theory was developed initially to describe the statistical properties of waves at the surface of the ocean but many other wave systems can sustain such turbulence. In addition to surface waves, WATU project investigates also geophysical flows with a special focus on stratified flows. Fluids with a stable vertical variation of density can sustain internal gravity waves. In oceans, this stratification results from variations of temperature and salinity. When the waves are nonlinear, they may evolve into a state of wave turbulence characterized by an energy flux in scale. In addition to waves, such fluids can also develop high Reynolds number turbulence made of vortices and which structure is affected by the anisotropy induced by the gravity. The presence of either sort of turbulence improves the mixing efficiency of the flow that in turn affects the stratification. These issues are of primary importance in the dynamics of the large scale oceanic circulation and the issue of energy and scalar dissipation in oceanography. Part of the WATU project also concerns surface waves in gravity or capillary regimes (including solitonic turbulence) as well as elastic waves in thin plates.
The post-doctoral associate will have to develop experiments and advanced statistical analyses of turbulence forced by waves in stratified water (with or without rotation). Experiments are developed in the CORIOLIS facility (see picture) which is a unique device dedicated to the modeling of geophysical flows. It consists in a 13m diameter, 1m-deep rotating tank equipped with a specific hydraulic scheme to generate arbitrary salt stratification profiles. The scientific issue is to reveal the wave contribution into stratified turbulence by developing a space and time resolved analysis of the turbulent field.
Besoldungsgruppe B 1 BBesO (Direktor/in und Professor/in) außertarifliche Vergütung Dienst-/unbefristetes Arbeitsverhältnis
Die Bundesanstalt für Materialforschung und -prüfung ist eine wissenschaftlich-technische Bundesoberbehörde mit Sitz in Berlin. Als Ressortforschungseinrichtung des Bundesministeriums für Wirtschaft und Energie forschen, prüfen und beraten wir zum Schutz von Menschen, Umwelt und Sachgütern. Im Fokus unserer Tätigkeiten in der Materialwissenschaft, der Werkstofftechnik und der Chemie steht dabei die technische Sicherheit von Produkten und Prozessen.
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Job Reference Number: UOS019165 Job Title: University Teacher Contract Type: Open-ended with a start date of 1 July 2018 Working Pattern: Full-time Faculty: Faculty of Engineering Department: Department of Computer Science Salary: Grade 8 £39,992 – £47,722 per annum. Potential to progress to £53,691 per annum through sustained exceptional contribution Closing Date: 3rd June 2018
Summary: The Department of Computer Science is seeking to appoint a University Teacher to support our involvement in the HEFCE-funded Institute of Coding (https://instituteofcoding.org), with the broad aim of improving the UK’s teaching of digital skills at levels 6 and 7.
One of the University of Sheffield’s key contributions will be the development of a national network of student companies. The aim is to build and disseminate the success of the Genesys Solutions student company at Sheffield (for more information, see the “teaching” section of the web page at https://www.epigenesys.org.uk).
You will work to assist other universities in establishing their own student companies in areas such as software engineering, cybersecurity and/or data science. You will develop and deliver teaching materials for others to use in their own modules, to “teach the teachers”, and to work as a consultant to other institutions as they establish their own method of student company-based learning.
You should have a good honours degree, in a computer science or a closely related subject and be familiar with the different strategies to promote learning and have a demonstrable interest in enthusing and engaging students and other lecturers. Focused and motivated, you will have excellent communication, leadership and organisational skills.
The Department of Computer Science is embarking on an ambitious growth strategy following our strong performance in the Research Excellence Framework (REF) 2014, in which we were ranked 5th out of 89 computer science departments in the UK. The Department is part of the Faculty of Engineering, ranked 84th globally by the recent Times Higher Education (THE) World University Rankings.
Open-ended with a start date of 1 July 2018. Funding is provided by HEFCE for three years; continuation beyond that is subject to the availability of further funding.
We’re one of the best not-for-profit organisations to work for in the UK. The University’s Total Reward Package includes a competitive salary, a generous Pension Scheme and annual leave entitlement, as well as access to a range of learning and development courses to support your personal and professional development.
We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.
To find out what makes the University of Sheffield a remarkable place to work, watch this short film: www.youtube.com/watch?v=7LblLk18zmo, and follow @sheffielduni and @ShefUniJobs on Twitter for more information.
Apply now by clicking on the 'Go to application page' button.
Job Reference Number: UOS019186 Job Title: Research Associate in Hybrid Energy Storage Systems Contract Type: Fixed-term for 12 months to start as soon as possible. Working Pattern: Full-time Faculty: Faculty of Engineering Department: Research Associate in Hybrid Energy Storage Systems Salary: Grade 7 £30,688 - £38,833 per annum Closing Date: 8th June 2018
Summary: The Department of Electronic and Electrical Engineering is respected internationally for the important contributions it makes in this field, and has the second highest research income in the UK in this subject area. We are a vibrant community of 46 academic staff, including 22 professors, 76 research staff, 34 technical staff, 26 administrative staff and over 800 undergraduate and postgraduate students. The Department is organised into three research groups: Communications and Imaging, Electrical Machines and Drives and Semiconductor Materials and Devices. For further information about the Department of Electronic and Electrical Engineering, go to: www.shef.ac.uk/eee.
You will join a team of three leading academics and industrial partners to address key research challenges for energy storage using battery, flywheel and supercap technologies. You will have in-depth knowledge of power conversion, energy storage systems, and practical system control. You will also have experience using modelling and simulation tools such as MATLAB/Simulink together with real-time control using embedded development platforms. This provides an ideal opportunity to undertake high quality research in collaboration with leading academic and industrial researchers in the field.
Candidates are required to hold a PhD, or be working towards a PhD, in electrical/electronic or power systems engineering or a closely related discipline or have the equivalent experience. A strong scientific understanding of electrical energy storage technologies is essential, along with experience in building power electronic hardware at power levels greater than 1kW and developing embedded software for control.
This post is fixed-term for 12 months. We’re one of the best not-for-profit organisations to work for in the UK. The University’s Total Reward Package includes a competitive salary, a generous Pension Scheme and annual leave entitlement, as well as access to a range of learning and development courses to support your personal and professional development.
We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.
To find out what makes the University of Sheffield a remarkable place to work, watch this short film: www.youtube.com/watch?v=7LblLk18zmo, and follow @sheffielduni and @ShefUniJobs on Twitter for more information.
Apply now by clicking on the "Go to application page" button.
Job Reference Number: UOS019145 Job Title: Lecturer in Digital Literacies Contract Type: Open Ended Working Pattern: Full-time Faculty: Faculty of Social Sciences Department: School of Education Salary: Grade 8 £39,992 - £47,722 per annum, with potential to progress to £53,691 per annum through sustained exceptional contribution. Closing Date: 4th June 2018
Summary:
The School of Education is internationally renowned for its research excellence and teaching quality. We have a wide range of full-time, part-time, distance and online programmes, some of them taught in international locations, making this a vibrant and stimulating environment for research-informed teaching. Our student body is growing in diversity, with full and part-time students, coming from a range of previous study experiences, from different contexts of educational practice and from different parts of the world. The School enjoys strong demand for its postgraduate and undergraduate programmes.
In REF 2014 The School of Education was ranked 1st in Education in the UK for research impact. We are ranked 4th overall in Education in the UK, with world leading and internationally excellent research. Our six professors are engaged in high-quality international research focusing on diverse educational issues and methodological approaches, all underpinned by a commitment to social justice, equity and inclusion. We are a collegial leadership team, providing mentoring support for colleagues at all career stages. The School has a long-standing history of research in Digital Literacies, and you will work with leading international experts.
Our website offers more information about the University of Sheffield, and all aspects of the School’s activity. Please see www.sheffield.ac.uk and www.sheffield.ac.uk/education for more details.
We seek a proven researcher to contribute to our interdisciplinary impact-focused research, and innovative teaching. You will have a good honours degree in Education or a relevant subject area for example, Social Sciences, Anthropology, Cultural Studies, Childhood and Youth together with a Doctorate in Education or a relevant subject area.
You will have research and teaching expertise in one or more of the following areas: New Literacies/Digital Literacies; Media Literacies; Community/family Digital Literacies, and have have a publication record of papers in high quality peer reviewed journals, along with the ability to attract and manage external research funding.
You will have experience of, or interest in, using Digital Technologies in teaching in ways that help develop the digital literacies of students, which includes the potential development of online programmes. You must have the ability to work collaboratively with colleagues within the University and with external partners and organisations.
We’re one of the best not-for-profit organisations to work for in the UK. The University’s Total Reward Package includes a competitive salary, a generous Pension Scheme and annual leave entitlement, as well as access to a range of learning and development courses to support your personal and professional development.
We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.
To find out what makes the University of Sheffield a remarkable place to work, watch this short film: www.youtube.com/watch?v=7LblLk18zmo, and follow @sheffielduni and @ShefUniJobs on Twitter for more information.
It is anticipated that interviews and other selection action will be held on Friday 15 June 2018. Full details will be provided to invited candidates.
Apply now by clicking on the 'Go to application page' button.
Job Reference Number: UOS019146 Job Title: Lecturer in Education, Culture and Childhood Contract Type: Open Ended Working Pattern: Full-time Faculty: Faculty of Social Sciences Department: School of Education
Salary: Grade 8 £39,992 - £47,722 per annum, with potential to progress to £53,691 per annum through sustained exceptional contribution. Closing Date: 4th June 2018 Summary:
The School of Education is internationally renowned for its research excellence and teaching quality. We have a wide range of full-time, part-time, distance and online programmes, some of them taught in international locations, making this a vibrant and stimulating environment for research-informed teaching. Our student body is growing in diversity, with full and part-time students, coming from a range of previous study experiences, from different contexts of educational practice and from different parts of the world. The School enjoys strong demand for its postgraduate and undergraduate programmes.
In REF 2014 The School of Education was ranked 1st in Education in the UK for research impact. We are ranked 4th overall in Education in the UK, with world leading and internationally excellent research. Our six professors are engaged in high-quality international research focusing on diverse educational issues and methodological approaches, all underpinned by a commitment to social justice, equity and inclusion. We are a collegial leadership team, providing mentoring support for colleagues at all career stages. The School has a long-standing history of research in Digital Literacies, and you will work with leading international experts. We welcome BME applicants to contribute to the diversity of our community.
Our website offers more information about the University of Sheffield, and all aspects of the School’s activity. Please see www.sheffield.ac.uk and www.sheffield.ac.uk/education for more details.
We seek a proven researcher to contribute to our interdisciplinary impact-focused research.
You will have a good honours degree in Education or a relevant subject area; Social Sciences, Anthropology, Sociology, History; Cultural Studies, Childhood and Youth together with a Doctorate in Education or a relevant subject area.
You will have research and teaching expertise in the foundational disciplines of Education Studies, with teaching experience across a range of undergraduate programmes.
You will be able to teach research methods across our BA and MA programmes, and will contribute to our EdD and PhD programmes, with experience of, or interest in, using Digital Technologies in teaching in ways that help develop the digital literacies of students.
You will have a publication record of papers in high quality peer reviewed journals, and in attracting external research funding,
You must have the ability to work collaboratively with colleagues within the University and with external partners and organisations.
We’re one of the best not-for-profit organisations to work for in the UK. The University’s Total Reward Package includes a competitive salary, a generous Pension Scheme and annual leave entitlement, as well as access to a range of learning and development courses to support your personal and professional development.
We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.
To find out what makes the University of Sheffield a remarkable place to work, watch this short film: www.youtube.com/watch?v=7LblLk18zmo, and follow @sheffielduni and @ShefUniJobs on Twitter for more information.
It is anticipated that interviews and other selection action will be held on Monday 25 June 2018. Full details will be provided to invited candidates.
Apply now by clicking on the 'Go to application page' button.
