Calls for scholarship and research fund applications

PhD Scholarship in Fisheries and Fisheries Ecosystem Impact Modelling – DTU

A PhD Scholarship in Fisheries and Fisheries Ecosystem Impact Modelling is available at the National Institute of Aquatic Resources (DTU Aqua) with starting date May 2017. The scholarship is financed by National and EU Research Projects and supported by the DTU Aqua PhD School.

The project will primarily be carried out in affiliation to the Section for Ecosystem-based Management which is situated in Lyngby, Denmark. DTU Aqua is an institute at the Technical University of Denmark.

The purpose of DTU Aqua is to provide research, advice and education at the highest international level within the sustainable exploitation of living marine and freshwater resources, the biology of aquatic organisms and the development of ecosystems as well as their integration in ecosystem-based management. The institute has an international research staff comprising approx. 120 academic employees.

Project description
The overall aim is to model the interlinked marine fisheries, fish stock, and benthic habitat/community dynamics and their interactions with focus on ecosystem impacts of fisheries and fisheries management. This involves application and further development of bio-economic spatial and agent-based modelling techniques for simulating individual fishing vessels moving in some (e.g. virtual) marine environment. The project offers opportunity for making significant advance in an important field of fisheries research concerning estimating the various ecological and socio-economics trade-offs among fisheries incomes, the sustainability of the fish stocks harvested, and the impacts and sensitivity of the benthic habitats/communities given different fisheries management options. This further integrates aspects of fishing fleet economics and drivers linked to the varying agent´s decision making. Mitigating fisheries in time and space is considered an attractive management solution provided that recent data can support highly resolved risk assessment model¬ling tools and simulations to document and anticipate potential long term effects and expected related benefits of management scenarios and actions within the ecological-economic system under concern.

The specific purposes are to:

  • Application and further development of bio-economic spatial and agent based modelling and simulation methodology;
  • Estimating ecological and socio-economics trade-offs of management scenarios with respect to fisheries economic effects, harvested stock sustainability, and benthic impacts;
  • Evaluate fisheries interactions with occupation of space by other marine sectors (renewable energy, large marine constructions, aquaculture, transport/shipping, conservation such as Natura2000 areas / benthic sensitive habitats,  etc.) with respect to their ecological-economic effects;
  • Modelling fisheries with fine spatial resolution to enable local and regional maritime spatial planning (MSP);
  • Literature review of empirical studies to incorporate the effect of fishing pressure on benthic habitats per type of fishing gear;
  • Participate in coupling the bio-economic spatial and agent based modelling tool to a state-of-the-art spatial fish population modelling framework concerning resource ocurrence.

The focus case study will be the Baltic and North Sea areas and the main modelling platform tool to be used and expanded will be DISPLACE (www.displace-project.org)

Qualifications
We are looking for a candidate who has:

  • Master of Science (M.Sc.) degree in Aquatic Science & Technology or similar;
  • Previous experience in marine and fisheries research, and population, fisheries and ecosystem dynamics;
  • Proven experience and strong skills in modelling and  quantitative and statistical analyses;
  • Proficiency in at least two programming languages among R and Matlab, C++, Python and GIS;
  • Interests and preferences for agent based modelling;
  • Knowledge on (fisheries) economics;
  • Proficiency in written and spoken English;
  • Keen interest in desk-only research and for working within the field of marine and aquatic sciences.

Approval and Enrolment
The scholarships for the PhD degree are subject to academic approval, and the candidates will be enrolled in one of the general degree programmes of DTU. For information about the general requirements for enrolment and the general planning of the scholarship studies, please see the DTU PhD Guide.
Assessment
The assessment of the applicants will be made by Sen. Sci. Francois Bastardie, Prof. J. Rasmus Nielsen, Sci. Grete Dinesen, and Sen. Sci. Ole R. Eigaard, DTU Aqua.

Salary and appointment terms
The salary and appointment terms are consistent with the current rules for PhD degree students at DTU.

The period of employment is 3 years.

Further information
For further information about the project, please contact Sen. Sci. Francois Bastardie, fba@aqua.dtu.dk

General information may be obtained from Christine Cecilie Hastrup chci@aqua.dtu.dk (+45) 3588 3001

Please do not send applications by e-mail, instead apply online as described below.

Application
Please submit your online application no later than 1 April 2017.

Applications must be submitted as one pdf file containing all materials to be given consideration. To apply, please open the link “Apply online,” fill in the online application form, and attach all your materials in English in one pdf file. The file must include:

  • A letter motivating the application (cover letter)
  • Curriculum vitae
  • Grade transcripts and BSc/MSc diploma
  • Excel sheet with translation of grades to the Danish grading system (see guidelines and excel spreadsheet here)
  • Description of skills according to qualifications.

Candidates may apply prior to obtaining their master’s degree, but cannot begin before having received it.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

The purpose of DTU Aqua is to provide research, advice and education at the highest international level within the sustainable exploitation of living marine and freshwater resources, the biology of aquatic organisms and the dynamics of ecosystems as well as their integration in ecosystem-based management. DTU Aqua has 260 employees, of whom a third are scientific staff. The other employees are assistant biologists, laboratory technicians, IT employees, administrative staff, ship’s crew, student assistants etc. The institute is organized into eight scientific sections which carry out the research, educational and advisory activities. In addition, the institute has a number of scientific and administrative support functions, including the research vessel DANA. DTU Aqua has employees in Charlottenlund, Silkeborg, Nykøbing Mors and Hirtshals as well as on Dana.You can read more about DTU Aqua on www.aqua.dtu.dk

DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 5,800 advance science and technology to create innovative solutions that meet the demands of society; and our 10,600 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government, and public agencies.

Apply here

PhD scholarship: Modelling the Conservation of Wide-Ranging Species

ID:
9948847
Title:

PhD scholarship: Modelling the Conservation of
Wide-Ranging Species

Advertiser:

University of Western Australia

Location:
Perth, Western Australia
Salary etc:
$29,000/year for 3 years + $1,500/year research funding

An exciting opportunity has arisen to undertake a PhD that will contribute towards the conservation of wide-ranging species in one of the world’s biodiversity hotspots.

This PhD is part of a larger project involving staff from the University of Western Australia, Alcoa of Australia, Department of Parks and Wildlife and the Western Australian Museum.

The project

The project, funded by the Australia Research Council, Alcoa World Alumina Australia and Department of Parks and Wildlife, aims to develop methods to better integrate conservation with anthropogenic activities across the whole landscape in a drying climate.

We are seeking a motivated candidate to undertake a PhD that will use data on the spatial distribution of critical resources for Red-tailed Black-Cockatoos to model the best trade-offs between conservation outcomes and a range of anthropogenic land uses. Critically, this will include modelling of how the location of cockatoo drink sites might influence these trade-offs.

While most of the data have already been collected, we would envisage that the candidate would undertake, or assist with, some fieldwork to better understand the cockatoo ecology, the landscapes and land uses modelled. The fieldwork would be conducted in a variety of landscapes in the northern jarrah forest ranging from 35km SE to120km SSE of Perth.

The candidate

We are looking for a candidate interested in both quantitative and qualitative research design, methodology and analysis, an ability to work both independently and as part of a team and a desire to interact and collaborate with both government departments and private industries.

Most of all we are seeking people with a passion for conserving our unique fauna and an interest in finding novel methods of achieving effective conservation outcomes in multiple-use landscapes.

Selection Criteria

Essential

  1. Completion of 1st-class or upper 2A honours or a Master of Science (MSc) or equivalent.
  2. Experience and skills in quantitative modelling of real world systems
  3. Willingness to engage with external stakeholders, such as private companies and government departments, and effectively present scientific research results to this audience
  4. Excellent interpersonal and oral communication skills
  5. Willingness to work as part of a large interdisciplinary team and achieve outcomes through a combination of planning, working independently, and collaborating with other team members

Desirable

  1. Experience in undertaking field-based vertebrate research
  2. Experience in modelling spatial and/or ecological data and familiarity with modelling software
  3. Experience in surveying literature and working with experts to define key ecological research questions then designing and implementing models to address such questions
  4. Experience in analysing, validating and interpreting model outputs
  5. Experience in calibrating models based on available knowledge and data
  6. Experience in writing scientific reports and publishing in the peer-reviewed literature
  7. A current A-class driver’s license.

How to apply

Enquiries about the position should be addressed to Dr Mike Craig either by email at michael.craig@uwa.edu.au or by phone on (08) 6488 1073.

To apply for the scholarship, please send a cover letter outlining why you want to do this PhD and your suitability for the position, a CV with the names and details of two academic referees and a document addressing the following selection criteria to michael.craig@uwa.edu.au

Applications close: Friday, 31 March 2017.

This scholarship is open to Australian and New Zealand citizens.

Date published:
31 Jan 2017
Closing date:
31 Mar 2017

PhD Scholarship in Ecosystem Effects of Fishing at DTU

A PhD Scholarship in Ecosystem Effects of Fishing is available at the National Institute of Aquatic Resources (DTU Aqua) with starting date December 1st 2016. The scholarship is financed by the European Marine and Fisheries Fund, the Danish Ministry of Environment and Food and DTU Aqua.The project will be carried out in affiliation to the Section for Ecosystem based Marine Management, which is situated in Charlottenlund, Denmark.DTU Aqua is an institute at the Technical University of Denmark. The purpose of DTU Aqua is to provide research, advice and education at the highest international level within the sustainable exploitation of living marine and freshwater resources, the biology of aquatic organisms and the development of ecosystems as well as their integration in ecosystem-based management. The institute has an international research staff comprising approx. 120 academic employees.

Project description
There is a growing concern over substantial bycatches of seabirds in gillnet fisheries in Europe, which among other things has resulted in the EU adopting the “Action Plan for reducing incidental catches of seabirds in fishing gears/COM/2012/0665”. This calls upon member states to reduce this bycatch as much as possible and furthermore requires member states to estimate the total level of seabird bycatch, assess the population level effects and develop and implement mitigation methods. The PhD project will include:

  • reviewing information on i) distribution and abundance of seabirds in Danish waters, ii) the population structure and affinity of these seabird species, iii) statistical methods used for predicting areas and seasons of high probability of bycatch, iv) approaches used for assessing the effects of bycatch, v) bycatch risk assessment, vi) relevant bycatch mitigation methods.
  • estimating the total bycatch of seabirds in Danish gillnet fisheries based on data collected through Remote Electronic Monitoring, including identifying the environmental and operational factors that are important in determining the risk of bycatch.
  • assessing the population level effects of the estimated total bycatch for each of the most important seabird species.
  • conducting a series of field trials of mitigation methods and evaluate their efficacy in reducing seabird bycatch.

Qualifications
We are looking for a candidate who has:

  • Master of Science (M.Sc.) degree, or equivalent in biology, ecology, statistics or similar.
  • Keen interest in research and for working within the field of marine and aquatic sciences
  • Innovative skills and the ability to generate new ideas
  • Ability to work independently and conscientiously as well as in teams
  • Previous experience in marine, aquatic or ecological research
  • Experience with coding in R, and with spatial and mixed effect models
  • Proficiency in written and spoken English
  • Good communication and writing skills aiming at both scientists and non-experts
  • Possession of a driver’s license

Approval and Enrolment
Scholarships for a PhD degree are subject to academic approval, and the successful candidate will be enrolled in one of the general degree programmes at DTU. For information about the general requirements for enrolment and the general planning of the scholarship studies, please see the DTU PhD Guide.

Assessment
The assessment of the applicants will be made by Senior Scientist Finn Larsen and Postdoc Lotte Kindt-Larsen, DTU Aqua. Salary and appointment terms
The salary and appointment terms are consistent with the current rules for PhD degree students at DTU. The period of employment is 3 years.

Further information
For further information about the project, please contact Senior Scientist Finn Larsen; fl or Postdoc Lotte Kindt-Larsen; lol.

General information may be obtained from Laura Mundus Nielsen, launie

Application
Please submit your online application no later than 1 October 2016.

Applications must be submitted as one pdf file containing all materials to be given consideration. To apply, please open the link “Apply online,” fill in the online application form, and attach all your materials in English in one pdf file. The file must include:

  • A letter motivating the application (cover letter)
  • Curriculum vitae
  • Grade transcripts and BSc/MSc diploma
  • Excel sheet with translation of grades to the Danish grading system (see guidelines and excel spreadsheet here)
  • Brief research proposal (1-2 pages) presenting ideas on how to address the research topics given in the short description of the PhD project above.

Candidates may apply prior to obtaining their master’s degree, but cannot begin before having received it.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

The purpose of DTU Aqua is to provide research, advice and education at the highest international level within the sustainable exploitation of living marine and freshwater resources, the biology of aquatic organisms and the dynamics of ecosystems as well as their integration in ecosystem-based management. DTU Aqua has 260 employees, of whom a third are scientific staff. The other employees are assistant biologists, laboratory technicians, IT employees, administrative staff, ship’s crew, student assistants etc. The institute is organized into eight scientific sections which carry out the research, educational and advisory activities. In addition, the institute has a number of scientific and administrative support functions, including the research vessel DANA. DTU Aqua has employees in Charlottenlund, Silkeborg, Nykøbing Mors and Hirtshals as well as on Dana.You can read more about DTU Aqua on www.aqua.dtu.dk

DTU is a technical university providing internationally leading research, education, innovation and public service. Our staff of 5,800 advance science and technology to create innovative solutions that meet the demands of society; and our 10,300 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government, and public agencies.

Apply here

Welcome to our e-mail service for jobseekers. Please find below links for the latest vacancies at DTU. Click on the individual vacancy to read more.

PhD Scholarship in Ecosystem Effects of Fishing

PhD Scholarship in Population Genomics of Tiger Sharks

We look forward to receiving your application.

Best regards,

HR department

PhD scholarship at DTU Bioinformatics

 

A PhD position is available at the newly formed Department of Bio and Health Informatics (DTU Bioinformatics) at the Technical University of Denmark within the areas of:

  • Health Informatics, Associate professor Ramneek Gupta, mail: ramneek@cbs.dtu.dk
  • Biotechnology and Meta-Genomic Informatics, Professor Thomas Sicheritz-Pontén, mail: thomas@cbs.dtu.dk
  • Artificial Intelligence in Life Science, Professor Morten Nielsen, mail: mniel@cbs.dtu.dk

Please note that the applicant need to contact one of the theme leaders at the department in order to make a project proposal and in order to identify the relevant advisory team (note that the DTU PhD system requires that this information is contained in the application).

DTU Bioinformatics
The research at DTU Bioinformatics is focused on benefitting from the wealth of new data and data types being generated within Life Science to improve human and animal health and develop solutions to problems of biotechnological and industrial interest. A cornerstone in achieving this is the dedicated effort within DTU Bioinformatics to develop artificial intelligence and machine learning solutions to the challenge of handling and interpreting large scale and heterogeneous data.

Machine learning
Machine learning is a specialized field within artificial intelligence covering algorithms with the ability to learn (from data) without being explicitly programmed. In contrast to conventional top down hypothesis driven research, with machine learning techniques, biological mechanisms are identified directly from data most often without any prior hypotheses. Within biology this approach has proven very powerful. A focus of the department is thus to design and develop new algorithms and tools to meet the challenges of the amount and the complexity of big data within the health sector, and the upcoming data avalanche from the biotech industry.

Health Informatics
Within the theme Health Informatics DTU Bioinformatics is engaged both in a) human genetics based health informatics, examples being the hologenetic view on childhood leukaemia and patient stratifications with traditional medicine approaches b) infectious diseases informatics, examples being the preparing for the next generation of global disease surveillance and building local outbreak predictors.

Biotechnology and MetaGenomic Informatics
Within the theme Biotechnology and MetaGenomic Informatics DTU Bioinformatics has strong interaction with the Danish Biotech industry in the discovery and refining of industrially important processes, examples being using large scale omics together with machine learning concepts to improve food related processes like wine fermentation and milk production.

Qualifications
Candidates should have a scientifically relevant master’s degree in engineering/natural sciences or a similar degree with an academic level equivalent to the master’s degree. Strong communication skills and a strong academic record is an advantage. The applicant should strive towards developing scientific skills at the highest level, be ambitious and hard working. Only applicants with great talent and a possibility to be among the brightest in their field will be considered.

Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in the PhD School of the department. For information about the general requirements for enrolment and the general planning of the scholarship studies, please see the DTU PhD Guide.

We offer
We offer an interesting and challenging job in an international environment focusing on education, research, public-sector consultancy and innovation, which contribute to enhancing the economy and improving social welfare. We strive for academic excellence, collegial respect and freedom tempered by responsibility. The Technical University of Denmark (DTU) is a leading technical university in northern Europe and benchmarks with the best universities in the world.

Salary and appointment terms
The salary and appointment terms are consistent with the current rules for PhD degree students. The period of employment is 3 years.
 
Further information
Further information may be obtained from Head of PhD school Ole Lund, tel.: +45 4525 2425, mail: olund@dtu.dk.

Please do not send applications to this e-mail address, instead apply online as described below.
You can read more about the Department of Bio and Health Informatics on www.cbs.dtu.dk.

Application
Please submit your online application no later than 19 September 2016.

Applications must be submitted as one pdf file containing all materials to be given consideration. To apply, please open the link “Apply online,” fill in the online application form, and attach all your materials in English in one pdf file. The file must include:

  • A letter motivating the application (cover letter)
  • Curriculum vitae
  • Grade transcripts and BSc/MSc diploma (an official translation into English)
  • Excel sheet with translation of grades to the Danish grading system (see guidelines and excel spreadsheet here)

Candidates may apply prior to obtaining their master’s degree, but cannot begin before having received it.
All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

DTU Bioinformatics is a new department at DTU formed by the bioinformatic part of the former Department of Systems Biology. DTU Bioinformatics is operating at the highest level of research, teaching, innovation, and consultancy services within the areas biotechnological informatics and health informatics. The department’s activities in the fields of research, teaching, scientific advice, and innovation are centred on the following research areas: health and cancer, immunology, infectious diseases, proteins, molecular biology, and molecular mechanisms, plants and biotechnology and big data infrastructure.
 
DTU is a technical university providing internationally leading research, education, innovation and public service. Our staff of 5,800 advance science and technology to create innovative solutions that meet the demands of society; and our 10,300 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government, and public agencies.

Apply here

We look forward to receiving your application.

Best regards,

HR department

Ocean modelling/marine ecology PhD studentship

PhD Studentship: Modelling climate change impacts on seabirds via ocean and forage fish dynamics

Britain’s seabirds have declined over the last three decades, and the species that have declined most are those dependent on small, nutrient-rich forage fish like sandeels. These fish occupy a critical point in marine food webs, vulnerable to both “top down” effects (e.g. fishing) and “bottom up” climate impacts via local ocean physics and plankton productivity. Concern over human impacts on sandeels and their predators have led to fishery closures and the creation of special Marine Protected Areas and Marine Conservation Zones, but where does climate change come into this story? Are current hotspots of sandeel and seabird productivity in British waters, the sites one would naturally focus on protecting, still going to be the hotspots fifty years from now? Are recent short-term trends a reliable guide to long-term future change?

This studentship will address these questions by linking together state-of-the-art dynamical simulations describing regional oceanography, plankton ecology, and sandeel life history, along with spatially explicit data on seabird numbers and trends. This project thus integrates many disciplines including physical oceanography, data science, marine ecology, and life-history theory.

Excellent mathematical and programming skills are required, and a background in either oceanography or ecology is preferred. The project will be co-supervised by Dr Neil Banas, an ocean modeller in the Dept of Mathematics and Statistics, University of Strathclyde, Glasgow UK (http://neilbanas.com/projects/); Dr Ruedi Nager, a seabird ecologist in the Institute of Biodiversity, Animal Health, and Comparative Medicine at University of Glasgow (http://www.gla.ac.uk/researchinstitutes/bahcm/staff/ruedinager/); and Dr Peter Wright, a fish biologist and head of the Ecology and Conservation group at Marine Scotland Science, Aberdeen (http://www.gov.scot/Topics/marine/science/Researchers/PeterWright). The student will be registered jointly at Strathclyde and Glasgow Universities–a rare, highly interdisciplinary opportunity–and participate in the MASTS (Marine Alliance for Science and Technology Scotland) research network.

The position is open to all UK and EU applicants and comes with three years of full support, including fees and an annual living stipend of approximately £14,000, as well as support for conference travel and other expenses. Start date is flexible, with winter 2016-17 preferred. Review of applications will begin 15 Sept 2016 and continue until the position is filled. To apply, send 1) a complete CV, 2) a 1-2 page personal statement explaining your specific interest in this position and the skills you bring to it, and 3) names and contact info for three references. Please send applications and other inquiries to Dr Neil Banas, neil.banas@strath.ac.uk.

Using mathematical modelling to combat invasive weeds (UNSW/Monash University)

Project Title: Fine-scale canopy turbulence models of seed dispersal

Supervisors: A/Prof Jason Sharples (UNSW), Dr John Taylor (UNSW), Dr Joslin Moore (Monash)

Scholarship details: The University of New South Wales (UNSW Canberra) is offering a top-up of $5,000 per annum over three years for PhD candidates in receipt of a Tuition Fee Remission (TFR) Scholarship. The top-up will allow the successful candidate to work with researchers in leading Universities in Australia and the United States. In particular, the scholarship offers a number of unique career development opportunities. These include: a period of travel to the United States to work with leading researchers in the field of turbulence modelling and seed dispersal; experience with field work and real-world application of mathematical modelling; and engagement with industry representatives.


PhD project description:

Invasive plant species are a significant environmental problem that costs the Australian economy $100 million each year.  To effectively manage invasive plants, land managers need to understand how populations spread across the landscape; and while we know that species spread is determined by long distance dispersal events, we currently cannot predict where in the landscape these events will occur.

This problem is being addressed in research funded by the Australian Research Council’s Industry Linkage Scheme under the project entitled ‘New multi-scale seed dispersal models for improved regional weed management’. This project is a collaboration between Monash University, the University of New South Wales (UNSW), the University of Canberra and a host of environmental and land management agencies.

A key part of the project is to determine how long distance dispersal depends on seeds being able to escape the plant canopy so that they can be carried by the wind. This seed escape is difficult to predict because it depends on the structure of the canopy, the characteristics of the wind and the aerodynamics of the seed. Variations in topography add an additional layer of complexity to the problem.

To help tackle this problem we are looking for a PhD candidate with a strong background in mathematics, physics or the atmospheric sciences. The candidate will develop and test canopy turbulence models that combine coupled Eulerian-Lagrangian closure models (CELC) and Large Eddy Simulations. These models will down-scale mean wind predictions from weather models to provide improved predictions of seed escape and a better understanding of this process on broad-scale seed dispersal. The numerical modelling will be combined with real measurements of wind across the landscape obtained through field surveys.

The project provides a substantial top-up scholarship and a number of unique career development opportunities. These include: a period of travel to the United States to work with leading researchers in the field of turbulence modelling and seed dispersal; experience with field work and real-world implementation of mathematical modelling; and engagement with industry representatives.

For more information contact:

A/Prof. Jason Sharples

School of Physical, Environmental and Mathematical Sciences

UNSW Canberra

(E) j.sharples@adfa.edu.au

(P) +61 (2) 6268 9466

 

Three PhD Opportunities in University College Dublin, Ireland

Three PhD Opportunities on the Role of Weather and Climate in Integrated

Energy Systems
—-

Three PhD projects are offered at University College Dublin, commencing
in September 2016. These focus on the role of weather and climate on
integrated energy systems in the context of a major new Science
Foundation Ireland and Industry funded multi-disciplinary Energy System
Integration Partnership Programme (ESIPP:
http://energyinstitute.ucd.ie/wp/research/esipp/ ).

1) High-Resolution atmospheric modelling for energy supply and demand.

The successful PhD candidate will investigate the use of different NWP
model types (deterministic/ensemble) and model resolutions in
forecasting energy generation from wind and solar PV plants. This will
involve implementing multiple high-resolution NWP models (WRF, COSMO,
HARMONIE), driven by different global ensemble data (NCEP, ECMWF).
Different parameterisation schemes will be tested under a range of
conditions to decide on optimal settings. The NWP model data will be
used to develop a statistical model (working with another PhD student)
to identify the best variables to use for energy systems forecasting,
while reducing systematic errors and quantifying forecast uncertainty.
The resulting model will be used to investigate different case studies
in integrated energy systems.

Project Supervisor: Dr Conor Sweeney, UCD School of Mathematical
Sciences (conor.sweeney)

2) Combined physical/statistical models to reduce uncertainty in Energy
Systems forecasting.

The successful PhD candidate will develop a model that systematically
integrates NWP data with spatially resolved energy data to
simultaneously forecast renewable energy supply and weather-driven
demand. Statistical post-processing techniques will be applied and
further developed to remove systematic errors from the model forecasts.
The resulting model will predict the supply and demand response of the
energy system to atmospheric changes such as heat waves, cold spells,
blocking highs and storms, with a prediction period from hours to days
ahead. The model will additionally warn of weather-related impacts for
energy systems infrastructure such as transmission lines and wastewater
pumping stations.

Project Supervisor: Dr Conor Sweeney, UCD School of Mathematical
Sciences (conor.sweeney)

3) Present and future regional scale climate influences on renewable
energy resources.

The successful candidate will investigate how the present-day
distribution and characteristics of renewable energy resources (wind and
solar energy) may be modified by projected climate change on
multi-decadal timescales. Climate model outputs (downscaled as
appropriate) will be investigated to understand how the characteristics
of renewable energy resources are likely to change spatially and
temporally on regional to global scales. The project will also
investigate the extent to which knowledge of pre-cursor conditions on
seasonal timescales, inferred from satellite-based observations of the
cryosphere, oceans and atmosphere may influence the persistence of
selected large scale atmospheric teleconnections during the boreal
winter.

Project Supervisor: Prof. Frank McDermott, UCD School of Earth Sciences
(frank.mcdermott)

All three PhDs are funded for four years, with a tax-free student
stipend of 18,000 per annum. Additionally, standard tuition fees,
project related materials and travel will be provided, as agreed with
PhD supervisor. To apply, please e-mail your CV (max 2 pages), including
contactable referees, a copy of your degree transcript, and a covering
letter of interest to the relevant supervisor by 30th April 2016.

====
Dr Conor Sweeney
Lecturer in Applied and Computational Mathematics
School of Mathematics and Statistics
UCD, Dublin 4, Ireland
+353-(0)1-716 2358
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