International Climate Protection Fellowships For young climate experts from developing countries, Germany

For young climate experts from developing countries interested in conducting a project in Germany and developing long-term collaborations

The fellowship allows future leaders to spend a year in Germany working on a research-based project of their own choice in the field of climate protection and climate-related resource conservation.

Fellows are free to choose their own hosts. Submit an application if you come from a non-European transition or developing country (see list of countries) and are active in any of the following areas: scientific, engineering-based, legal, economic, health-related or social aspects of climate change.

During a three-week introductory phase, you will have the opportunity to make contact with other climate protection fellows and visit companies, research institutions and cultural events in Germany.

An intensive German-language course before you begin the fellowship will smooth your way into everyday life in Germany whilst a continuing education event lasting several days in the course of the fellowship will enable you to acquire not only practical knowledge of climate protection but also expertise in management.

The closing date for applications is 1 March 2016. Subject to final confirmation of funding, 20 fellowships can be granted.

Application requirements

• The first university degree (Bachelor's or equivalent) must have been obtained within the past 12 years, counting from the end of the application period
• Clearly visible leadership potential demonstrated by experience in a leadership position, or appropriate references
• Work experience (at least 48 months at the time of application) or a successfully completed doctorate in the field of climate protection
• A detailed statement by a host in Germany, including a mentoring agreement. You can find information on potential host institutions in Germany on the project data base of the German Federal Environmental Foundation, on the Research Explorer, on the Klimanavigator and in the link list provided by the Helmholtz Centre for Environmental Research.

• Very good knowledge of English and/or German
• Citizenship of a non-European transition or developing country (see list of countries) which is also the fellow’s habitual abode and place of work
• Two expert references by individuals qualified to comment on the candidate’s professional, personal and, if applicable, academic eligibility and his / her leadership potential

Benefits
 

• Fellowship amount according to qualifications between €2,150 and €2,650 per month
• Two-month intensive language course in Germany
• Lump sum for travel expenses
• Allowances for visits by family members lasting at least three months
• Allowance of €800 per month for the host in Germany for projects in the natural and engineering sciences, and €500 per month for projects in the humanities and social sciences

• Allowance for a study or research visit to an institution in another European country lasting from one to two months
• Allowance for single parents accompanied by children
• Additional extension of the fellowship by up to three months if children under 12 also accompany the fellow to Germany
• Extensive alumni sponsorship

All you need for your application

• Programme details (PDF)
• Form for the proposed host and confirmation of support (DOC)
• Form for letters of recommendation (PDF)

Further Information 

PhD Research Fellowship in Paleontology, Norway

Position as PhD Research fellow available at Natural History Museum, University of Oslo.

The fellowship is for a period of up to 4 years, with 25 % compulsory work. Starting date no later than 1. August 2016.

Project description:

The candidate will study Lower to Middle Triassic ammonoid faunas of the Arctic region, with a focus on Svalbard. The aims of the project are to revise the ammonoid taxonomy and biozonation and to improve our understanding of the paleobiogeography and paleoenvironment of the High Boreal Triassic. The project will involve field and laboratory work, taxonomic description, statistical and ecological analysis, and quantitative biostratigraphy. Integration with geochemistry and other background data will also be important. The project is a cooperation between the University of Oslo, the University of Zürich and the University Centre in Svalbard (UNIS). The candidate will be part of active Triassic research groups in Oslo and Zürich.

Requirements/qualifications:

Applicants must hold a Master’s degree or equivalent in geology or biology, with specialization in invertebrate paleontology. Physical ability for field work in the Arctic is required. Previous experience with some or all of the following subjects is desired: The Triassic system, ammonoids, Arctic geology, taxonomic description and statistical analysis.

We seek a highly motivated, hardworking and creative student who is able to think and work independently, but who is also able to work well as part of a team. The candidate has to have good communication skills and will collaborate with researchers across disciplines.

The purpose of the fellowship is research training leading to the successful completion of a PhD degree.

The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD programme must be submitted no later than two months after taking up the position. For more information see:

http://www.uio.no/english/research/phd/

http://www.mn.uio.no/english/research/doctoral-degree-and-career/phd-programme/index.html

A good command of English is required.

http://www.mn.uio.no/english/research/doctoral-degree-and-career/regulations/proficiency-requirements.html

Salary:

Pay grade (stipendiat SKO 1017): 50 - 57 (NOK 430 500 – 483 700  per year) 

The application must include:

• Application letter
• CV (summarizing education, positions and academic work - scientific publications)
• Copies of educational certificates, transcript of records and letters of recommendation
• List of publications and academic work that the applicant wishes to be considered by the evaluation committee
• Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)

Foreign applicants are advised to attach an explanation of their University’s grading system. Please remember that all documents should be in English or a Scandinavian language.

In accordance with the University of Oslo’s equal opportunities policy, we invite applications from all interested individuals regardless of gender or ethnicity.

UiO has an agreement for all employees, aiming to secure rights to research results a.o.

Application deadline:  January 31, 2016

Apply Online 

Commonwealth Scholarships in low and middle income countries

The Commonwealth Scholarship and Fellowship Plan (CSFP) is a unique programme. Since its establishment in 1959, it has provided opportunities for over 30,000 citizens of all Commonwealth countries to study in other member countries. 

Following the establishment of the CSFP endowment fund in 2009, a new strand of Commonwealth Scholarships located in low and middle income countries is available.

2016 Commonwealth Scholarships

Applications are now open for Master’s scholarships for courses beginning in mid-2016 in:

• Bangladesh
• Ghana
• Kenya
• Lesotho
• Malawi
• Pakistan
• Rwanda
• Swaziland
• Uganda

Closing date for applications: 29 February 2016


Eligibility criteria

• Applicants must be a citizen of any Commonwealth country other than the host country.
• Applicants must hold a first degree of upper second class standard (or above) in a discipline relevant to that in which study is proposed

The scholarships provide

• Return economy airfare from the scholar’s home country to the host country
• An arrival allowance of USD 500 to cover removal costs
• Full tuition fees
• A monthly/quarterly stipend intended to cover living costs, sustenance and local transport. Scholars will need to cover accommodation costs from their stipend.

How to apply
Email the completed application form to the email address detailed on the relevant country page above. With your application you should submit:

• High school certificates
• Undergraduate transcripts and graduation certificate
• Scan of photo page of passport
• Proof of English language ability if English is not your first language
• At least one academic reference
• University offer letter for the institution you have applied to, if you already have one

University admission
If possible you should have already applied to the university for admission to your desired course when you submit the scholarship application. Any scholarship offer will be provisional upon the applicant being able to obtain unconditional admission to the relevant course to start by mid-2016. Contact the university for information on course application deadlines.

To find out more
Send any enquiries to the contact email address given for each host country. The ACU cannot respond to enquiries.

Following your application
Successful applicants will be notified within three months of the closing date.

Other important information
The scholarships are for Master’s courses only and are not applicable to distance learning courses. The scholarships are for new students only and cannot be used to fund a course you have already started. No additional funding will be provided for scholars with families.

Commonwealth Scholarships in other countries
Applications will be opening in April 2016 for courses beginning in January/February 2017 in:

• South Africa
• Sri Lanka
• University of the South Pacific (Fiji & Samoa)

Source

Malmö University Master's Scholarships, Sweden

Malmö University offers scholarships that cover between 75 and 100 percent of the tuition fee to highly talented students. 

OPEN FOR APPLICATIONS UNTIL 1 FEBRUARY 2016

The Malmö University Master's Scholarship (MUMS) is for students who:

• are citizens of a country outside the European Economic Area/Switzerland and are obliged to pay tuition fees for studies in Sweden,
• have applied for an English-taught master's programme at Malmö University through www.universityadmissions.se, and
• have ranked a programme at Malmö University as first priority in their application for studies.

We grant around 20 scholarships annualy, each providing a 75 to 100 percent reduction of the programme's tuition fee. Scholarships are awarded on academic merit and motivation. Students admitted to two-year programmes will retain the scholarship for the second year if they successfully complete the first year of study and meet the progression criteria.

The scholarships are funded by the Swedish Government and are administered locally by Malmö University.

To find out more about Malmö University's scholarships, you can contact scholarships@mah.se.

Application Form and Instructions

Right-click to download:

Application form

NOTE: You must download the application form in order to fill it out

Application instructions

 

Scholarship Timeline

2015
December 1
Application period opens
2016
February 1     :   Application period closes
April 7            :   Nominees notified
April 28          :    Reserves notified

Postdoctoral researcher Polymer Chemistry, University of Fribourg

The Adolphe Merkle Institute (www.am-institute.ch) is an established independent center of competence associated with the University of Fribourg. AMI prides itself with an unusual blend of fundamental and application-oriented research within a multidisciplinary setting and strives to be a leader in interdisciplinary research on soft nanoscience. To complete our team, we are looking for a

 

Postdoctoral researcher (Polymer Chemistry)

 
[Job code: AMI-NB-004]

 

The Macromolecular Chemistry Group (Prof. Nico Bruns) invites applications for a postdoctoral researcher (m/f) for a project on self-healing polymer membranes. In particular, you will investigate polymer networks as self-sealing layer on waterproof and breathable membranes. The study will involve the development of new monomer formulations to coat membranes in close collaboration with several industrial partners.

You should hold a PhD degree in Chemistry and ideally be a polymer chemist with a strong background and experimental expertise in polymer synthesis, polymer processing, polymer characterization and testing of materials’ properties. You should be interested in driving a collaborative project between academia and industry forward. Good English language skills (written and oral) and an excellent track record of publications in peer-reviewed high quality journals are required.

We offer an interdisciplinary research environment at the interface of materials science, polymer chemistry and bionanotechnology, well-equipped laboratories, excellent working conditions and a competitive salary. The position will start as soon as possible and is initially funded for 12 months, with the possibility for an extension by further 6 months.

Please send your complete documentation (reference AMI-NB-004; including letter of motivation, CV, list of publications and contact details of at least two academic references) until 7.2.2016 to: Adolphe Merkle Institute, University of Fribourg, ami-applications@unifr.ch.
 

For additional information about the position, please contact: Prof.  Nico Bruns, nico.bruns@unifr.ch.

PhD Scholarship Predictive Model for Oil Drilling, Swinburne University of Technology (Sarawak, Malaysia Campus)

Scholarship information 

Full tuition fee waiver for full-time PhD study (MYR31,195 per annum) plus an allowance of MYR22,800 per annum for 3.5 years subjected to satisfactory annual progress review and the University’s approval.

Closing date for applications: 

29 Feb 2016.

Interview via skype: 7-11 March 2016 

PhD study starting date: 18 April 2016 

*Opportunities 

• On top of the PhD candidature requirements, these are additional opportunities for these candidates. 
• Traveling Requirement Successful candidate will be required to visit Swinburne Sarawak’s industry partner together with your supervisor. 
• Successful candidate will be required to visit Swinburne Melbourne Campus subject to supervisor’s approval. 
• The airfare and accommodation fees will be covered on top of the scholarship. 

Project Supervision Successful candidate will be supervised by research teams in both Swinburne Sarawak and Melbourne campuses.

Project: Predictive Model for Oil Drilling 

Swinburne and a commercial software company have jointly ventured in developing software to crunch data from oil and gas borehole rigs. Data resulted from the oil rigs drilling processes has been collected in the past decade. This project focuses on working on a predictive model for more efficient drilling in future. In order to drill a borehole, driller (drilling company) has to balance time, cost, manpower and consumables in order to achieve adequate depth of drill with minimum time and resource. If time is too short, the drilling can be dangerous and more expensive. If time is too long, drilling can be less dangerous and in some cases more expensive or less expensive.

PhD candidate is required to design and implement a predictive model that can be used to estimate future drilling time and cost based on the ground parameters such as soil structure, depth etc.

Preferred candidate’s background:

• i. Students with a Bachelor / Master degree in Computer Science, IT, Software Engineering or relevant Engineering disciplines can apply. 
• ii. Strong programming skills (students with no programming experience would not be considered) 
• iii. Knowledge of Machine Learning, Data Mining and Statistical Inference would be an advantage
• iv. Knowledge of Oil Drilling would be an advantage 
• v. Good written and oral communication skills in English are essential. 
• vi. Good analytical and critical thinking skills are essential. 

Application Details Interested candidates should send a CV and latest grades by 29 Feb 2016 to Associate Professor Patrick Then (pthen@swinburne.edu.my).

PhD scholarship Data Analysis Engine for Medical Discovery and Prevention, Swinburne University of Technology (Sarawak, Malaysia Campus)

Scholarship information 

Full tuition fee waiver for full-time PhD study (MYR31,195 per annum) plus an allowance of MYR22,800 per annum for 3.5 years subjected to satisfactory annual progress review and the University’s approval.

Closing date for applications: 

29 Feb 2016.

Interview via skype: 7-11 March 2016 

PhD study starting date: 18 April 2016 

*Opportunities 

• On top of the PhD candidature requirements, these are additional opportunities for these candidates. 
• Traveling Requirement Successful candidate will be required to visit Swinburne Sarawak’s industry partner together with your supervisor. 
• Successful candidate will be required to visit Swinburne Melbourne Campus subject to supervisor’s approval. 
• The airfare and accommodation fees will be covered on top of the scholarship. 

Project Supervision Successful candidate will be supervised by research teams in both Swinburne Sarawak and Melbourne campuses.

Project: Data Analysis Engine for Medical Discovery and Prevention

This project will address an area of growing need within medical prevention, especially in the area of cardiology where there is a significant growth in the number of members of the public with cardiac diseases, but their medical condition often remains undiagnosed until it is too late for any preventive steps (e.g., special diet, exercise) to be undertaken. Using the historical data of patients with cardiac diseases, the main aim of the project is to develop a tool-set, associate methods and models that will allow for the identification of better early indicators of cardiac disease risks. In terms of the core research, the objective of the project is to develop and validate a Domain Specific Visual Language (DSVL) that can act as a bridge between the mental model of a medical practitioner, the underlying meta-model mined from the data in the domain, and the data processing pipeline that needs to be executed.

Preferred candidate’s background: 

i. Students with a Bachelor / Master degree in Computer Science, IT, Software Engineering or relevant Engineering disciplines can apply.
ii. Strong programming skills (students with no programming experience would not be considered)
iii. Knowledge of Machine Learning, and Data Mining would be an advantage
iv. Understanding of medical datasets would be an advantage v. Good written and oral communication skills in English are essential.
vi. Good analytical and critical thinking skills are essential.

Application Details Interested candidates should send a CV and latest grades by 8 Feb 2016 to Associate Professor Patrick Then (pthen@swinburne.edu.my).