Two Fully-funded Postdoc Positions in Robotics and Intelligent Systems Group, University of Oslo, Norway

Department of Informatics

Postdoctoral Research Fellowships in Robotics and Intelligent Systems, 1 - 2 positions

1-2 positions as Postdoctoral research fellow is available at the Robotics and Intelligent Systems (ROBIN) group at the Department of Informatics, University of Oslo, Norway (Norway's largest university department for education and research in Computer Science and related topics, see http://www.mn.uio.no/ifi/english), as a part of the Research Council of Norway funded project Multimodal Elderly Care Systems (MECS). The project aims at working with extending the capabilities of robot companions (in sensing, learning and prediction of future events) to be applied in elderly care at home.

The fellowships will be for a period of 3 years, possibly with an option for extension of the employment period by 4 months depending background and qualifications for additional duty work which typically includes work on courses (lecturing, preparation and organizing of exercises etc). We also have a number of international collaborators and having a stay of up to 6 months with one of these could be possible. The starting date is preferably no later than November 1st 2016.

Project description

The Robotics and Intelligent Systems research group focus on adaptive systems research often including biologically inspired methods. We target to apply these methods within robotics, programmable logic and applications like active music. We are interested in studying human and robotic motion using motion capture analysis and apply this knowledge in designing adaptive robotic or computing systems. We do rapid prototyping of robots with 3D-printers and milling machines.
In this project we are interested in making progress on equipping robot companions with complementary sensor systems to be able to sense the state of humans and their environment. Further, by modeling normal behavior and state of the human, we want to explore the possibility for predicting future non-normal behavior and events. This would be undertaken by an autonomous mobile robot compromising between privacy of the human and quality of the measurements. The candidate is planned to either be focusing on the sensing part or be working with behavior modeling and prediction. The candidate will be collaborating with a research fellow working in the other area and another research fellow specializing in user-oriented design methods for the robots.

Qualifications


The Faculty of Mathematics and Natural Sciences has a strategic ambition of being a leading research faculty. Candidates for this fellowship will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.
The candidate must have a PhD or other corresponding education equivalent to a Norwegian doctoral degree in computer science including robotics and machine learning/artificial intelligence (other degrees would be considered if qualifications match). Thus, applicants should have a strong background in programming and robotics and have knowledge about machine learning. Moreover, knowledge in the fields of motion tracking and analysis, sensor data analysis, biology-inspired techniques, rapid prototyping, simulation, and behavior modeling would be an advantage. The candidates should have experience with practical work as we expect the project to be working with testing and modifying robots for improved performance in their environment. In the application, please briefly describe the relevance of the Master/PhD thesis work and other project work relevant for the position. Please also briefly mention what part of the project you would be most qualified and motivated for working with. Applicants for the fellowship should have scientific publications, and both their quantity and quality (impact of the journal(s) and conference(s)) would be an important selection criteria.
The main purpose of post-doctoral research fellowships is to qualify researchers for work in top academic positions within their disciplines.
Please also refer to the regulations pertaining to the conditions of employment for post-doctoral fellowship positions:
http://www.uio.no/english/about/regulations/personnel/academic/regulations-employment-conditions-postdoc.html

A good command of English is required.
In summary, the selection of the candidate(s) for the position would be based on relevant knowledge and experience in the areas described above, education results and scientific publications.

Salary:
Position code 1352, NOK 512 700 – 567 100 per year, (Pay Grade: 60 – 65) depending on qualifications and seniority.

We offer:
a challenging and stimulating working environment attractive welfare benefits

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
• The most relevant and important publications and academic work that the applicant wishes to be considered by the evaluation committee (maximum 5)
• 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 but would like to specifically encourage female candidates to apply.
UiO has an agreement for all employees, aiming to secure rights to research results a.o.

• Region:
• Oslo

• Job type:
• Fixed Term Contract

• Working hours:
• Full-time

• Working days:
• Day

• Application deadline:
• 10. August, 2016

• Location:
• Oslo

• Reference number:
• 2016/3442

• Home page:
• http://www.ifi.uio.no

• Contacts:
• Professor Jim Tørresen
  Telephone: +47 22852454
• Questions regarding EasyCruit, contact HR Officer Helene Beate Jansen
  Telephone: +47 22857196

Send application

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PhD Scholarships in Datamining, Optimisation, Artificial Intelligence, University of Nottingham Ningbo, China

Introduction

The University of Nottingham Ningbo has PhD scholarships for suitable candidates who are interested in Datamining, Optimisation, Artificial Intelligence and related subjects such as:

Subject Areas

•          Data mining/machine learning challenges: large data sets, mixture of data types (including images), data quality and security issues.
•          Optimisation challenges: dealing with uncertainty, dynamic problems, large scale optimization problem, new optimization and data mining combinations such as simulation and machine learning.
•          Social challenges – users need to understand and trust the solution methods or they will not use them optimally. What technical implications does this have in application areas such as medical data, logistic problems and other areas of the digital economy.

The research projects are multidisciplinary in nature and will involve solving business problems related to designing, planning, controlling and improving of operations and management processes. The scholarships will be attractive to researchers from a range of industrial, engineering, computer science or management backgrounds.

PhD Scholarship package:

The scholarships are based at The University of Nottingham’s campus in Ningbo, China. They are available from September 2016 for a period of three years, with a stipend of up RMB 3,000 per month and an accommodation allowance of RMB 4,800 per year for local students and RMB 12,000 per year for international students. Tuition fees are fully funded and medical insurance is provided. Teaching assistantships with extra payment may be available for talented PhD students.

How to Apply:

The application deadline is 15 August 2016. To apply please send an email with the subject IAMET scholarships and the following attachments toPHDAdmissions@nottingham.edu.cn :

·       Application Form (please download here:http://www.nottingham.edu.cn/en/admissions/domestic-students/phdprogramme/how-to-apply/application--assessment-procedure.aspx
·       A brief research proposal (1-2 pages)
·       Copies of degree certificate for both undergraduate and postgraduate study (Xueli certificates required for applicants from Chinese universities)
·       Official transcripts showing marks for both undergraduate and postgraduate study (in English only, with university’s official stamp on)
·       Two references which can be emailed by the referees directly toPHDAdmissions@nottingham.edu.cn
·       English proficiency test report (not required for native English speakers or those with degrees from English speaking countries))
·       A copy of passport-sized colour photograph
·       A copy of your passport. For Chinese applicants a copy of ID card is accepted

Informal inquiries may be addressed to Professor Uwe Aickelin uwe.aickelin@nottingham.edu.cn

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Research Associate in Machine Learning / Bioinformatics (competitive salary), University of Luxembourg

Introduction

The University of Luxembourg has the following vacancy in the Luxembourg Centre for Systems Biomedicine (LCSB, http://wwwen.uni.lu/lcsb). The LCSB is accelerating biomedical research by closing the link between systems biology and medical research. Collaboration between biologists, medical doctors, computer scientists, physicists and mathematicians is offering new insights in complex systems like cells, organs, and organisms. These insights are essential for understanding principal mechanisms of disease pathogenesis and for developing new tools in diagnostics and therapy.


The National Centre of Excellence in Research on Parkinson’s disease is a recently launched 8-year program, which involves all national actors in biomedical research in Luxembourg. One long-term objective of program is to recruit and analyze a cohort of PD patients from Luxembourg and clinical centers in neighboring countries to help identify predictive and progressive biomarkers of the disease. Systems biological tools, in particular state-of-the-art computational modeling, will be used for biomarker identification. International partners in this program include the Oxford Parkinson’s Disease Centre, the Hertie-Institut für klinische Hirnforschung in Tübingen, the Paracelsus-Elena-Klinik in Kassel, and the National Institutes of Health in the USA.


Research Associate (Postdoctoral fellow) in Machine Learning / Bioinformatics (m/f)
----------------------------------------------------------------------

Fixed-term contract 2 years, 40h/week, may be extended up to 5 years.
Employee status (start date: as soon as possible)
Ref.: I1R-BIC-PFN-15NCER

Your Role:


We are looking for a bioinformatician or machine learning expert who is well versed in the statistical analysis of large-scale biological data and bioscientific programming. The candidate will be responsible for the processing and biomedical analysis of RNA sequencing, microarray and GWAS data, and the collaborative integration of analysis results with those obtained on clinical, proteomics and metabolomics data. The project is part of a long-term, multi-centre collaboration on diagnostic biomarker discovery for Parkinson’s disease patients. It will use both existing and newly collected high-throughput experimental data from patients and controls, but also from corresponding in vivo and in vitro models as part of an integrative systems biology approach.

Your Profile:

•        The candidate will have a PhD or equivalent degree in machine learning or bioinformatics
•        Prior experience in large-scale data processing and bioscientific programming is required
•        A track record of previous publications in large-scale biological data analysis should be outlined in the CV
•        Demonstrated skills and knowledge in machine learning, biostatistics, next-generation sequencing data analysis (in particular RNAseq), pathway and network analysis are highly advantageous
•        The candidate should have a cross-disciplinary aptitude, strong organizational and interpersonal skills, and a keen interest in collaborative biomedical research
•        Fluency in oral and written English



We offer:

•        A fully funded position with a very competitive salary.
•        An opportunity to join the National Center of Excellence in Research on Parkinson’s disease with an international and interdisciplinary ethos.
•        Working in a scientifically stimulating, innovative, dynamic, well- equipped, and international surrounding.
•        Opportunity to work closely with worldwide academic partners.
•        The University offers highly competitive salaries based on the candidate's experience and is an equal opportunity employer.

Further Information:

Applications (in English) should contain the following documents:

•        A detailed Curriculum vitae
•        A motivation letter, including a brief description of past research experience and future interests
•        Copies of degree certificates and transcripts
•        Name and contact details of at least two referees

Further Information:

Recruitment web-page: http://goo.gl/33STL4

How to Contact/Apply

Informal enquiries can be made to:
Dr. Enrico Glaab: enrico.glaab@uni.lu

Deadline

Applications can be submitted apply online until 30th September 2016.

Apply Online

Apply 

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KAUST MS/PhD Scholarships 2017, Saudia Arabia [Salary $20,000-30,000/Year and many Others]

Applying to KAUST

We are now accepting applications for Spring 2017. Apply now!​

Application Requirements

KAUST requires a minimum TOEFL score of 79 on the IBT (Internet Based Test) or 6.0 on the IELTS (International English Language Testing System). The KAUST admissions code is 4107. Only official TOEFL or IELTS scores will be accepted. TOEFL or IELTS scores for tests administered by an educational institution for admission to that particular institution are not acceptable.

A TOEFL or IELTS score is not required if the applicant received a degree from an accredited institution in the United States, Canada, the United Kingdom, Ireland, Australia, or New Zealand.

KAUST does not require the GRE exam for admission. However, we strongly encourage students to take the GRE general test. A high quantitative score on the GRE will enhance a student's application. Official test results should be sent directly from ETS. The KAUST admissions code is 4139. The average GRE quantitative score for admitted students is currently 774 out of 800.

Submit an official complete university Transcript/ Mark sheets/ Graduation Certificate/ Academic Record from every institution previously attended. A scan of the official transcript provided by the university in the native language must be uploaded into the online application along with the certified English translation. Your transcript must include the university grading scale for all documents submitted. If offered admission, an official final transcript must be sent to the Office of Admissions prior to arrival (during the onboarding process) in a sealed envelope to:

​Office of Admissions
Graduate Affairs

Building 9, Suite 4328
4700 King Abdullah University of Science and Technology
Thuwal, Jeddah 23955-6900
Kingdom of Saudi Arabia

You must have three letters of recommendation submitted on your behalf. Letters of recommendation are important and should be written by professors or advisors under whom you have pursued research or taken courses in your major field of study. Recommendation letters should be submitted through the application directly from the recommender. Recommenders should provide details about how he/she knows your work, as well as comparative statements (e.g., top 1% of class, best in past five years, etc.), and insight into your research ability.

Also please add your Curriculum Vitae (CV).

Financial Support

All admitted students receive the benefits of the KAUST Fellowship which supports students for the duration of their graduate studies. The benefits of the KAUST Fellowship include:

• ​Full tuition support
• Monthly living allowance (ranging between $20,000-30,000 annual, depending on qualifications and progression through degree programs)
• Housing*
• Medical and dental coverage*
• Relocation support

* Charges may apply to dependent housing and medical and dental coverage.

Contact the Office of Admissions
Mailing Address
Graduate Affairs
Engineering Building (Building 9), Suite 4328
4700 King Abdullah University of Science and Technology
Thuwal 23955-6900
Kingdom of Saudi Arabia

admissions@kaust.edu.sa

Online Application Form

Please fill out and submit the form below 

 Apply Now!

M.S.​​ Degree​

We are now accepting applications for Spring 2017. Apply now!​

Admissions

Admission to the M.S. program requires the satisfactory completion of an undergraduate BS degree in a relevant or related area, such as Engineering, Mathematics or the Physical, Chemical and Biological Sciences. 

General Degree Requirements

The M.S. degree at KAUST is a 36-credit program. Students are expected to complete the M.S​. degree in three semesters and one summer session. Degree requirements are divided into three sections: (1) Core Curriculum; (2) Elective Curriculum; and (3) Research/Capstone Experience.

• ​Core Curriculum (9-15 credits): This portion of the degree program is designed to provide a student with the background needed to establish a solid foundation in the discipline over and above undergraduate studies.
• Elective Curriculum (9-15 credits): This portion of the degree program is designed to allow each student to tailor his/her educational experience to meet individual research and educational objectives. Depending upon the program and the objectives, this may be met by added coursework or by additional research experience.
• Research/Capstone Experience (12 credits): The details of this portion of the degree program are also uniquely determined by the student and his/her advisor and will involve a combination of research and other capstone experiences that build on the knowledge gained in coursework.

At least thirty-six (36) degree credits must be completed in graduate-level courses and research projects. These courses should be 200-level or above and must be approved by the program advisor.

Thesis Requirements

Students
pursuing the Thesis option must apply by the eighth week of their second semester. Thesis students are expected to conduct research and compose the thesis during the summer and subsequent fall semesters. A minimum of 6 credits of thesis research (297) is required, although it is expected that a student will enroll in 12 credits of MS thesis work. With permission of the M.Sc. thesis advisor, a student who enrolls in only 6 credits of thesis research may use one of the following options to earn the six remaining credits of degree requirements:

• ​Internship: Research-based summer internship (295). Students are only allowed to take one internship.
• Broadening Experience Courses: Courses that broaden a student's MS experience.
• Ph.D. Level Courses: Courses numbered 300 or greater. Any course in the Ph.D.​ core requirements that is passed with a minimum grade of B– may be used towards meeting the core Ph.D. requirements of the program if the student chooses to continue for a Ph.D. degree at KAUST.

Students are permitted to register more than 12 credits of M.S. thesis research as necessary and with the permission of the thesis advisor.

Committee Structure and Thesis Defense

A committee comprised of the M.S. thesis advisor and two other faculty members performs the evaluation of satisfactory completion of M.S. thesis work. The chair of the committee must be a faculty member within the program. One external faculty member, or one Research Scientist may be allowed. The evaluation of M.S. thesis credits comprises of a satisfactory or unsatisfactory grade. The requirement of a public seminar based on the student's work is left to the discretion of the M.S. thesis advisor.


The student is responsible for scheduling the thesis defense date with his/her supervisor and committee members. It is advisable that the student submits a written copy of the thesis to the thesis committee members at least two weeks prior the defense date.

Non-Thesis Option

Research requirement: A minimum of 6 credits of directed research credits (299) is required. Summer internship credits may be used to fulfill the research requirement provided that the summer internship is research-based. Summer internships are subject to approval by the student's academic advisor.

Students must complete the remaining credits through one or a combination of the options listed below:

• ​Broadening Experience Courses: Courses that broaden a student's M.S. experience.
• Ph.D. Level Courses: Courses numbered 300 or greater. Any course in the Ph.D. core requirements that is passed with a minimum grade of B– may be used towards meeting the core Ph.D. requirements of the program if the student chooses to continue for a Ph.D. degree in at KAUST.
• Internship: Research-based summer internship (295). Students are only allowed to take one internship.

It should be noted that a student might be able to also combine courses to satisfy the six-credit requirement. For example, a student could take one Ph.D.-level course and one graduate-level course in another program. A student may not enroll in two summer internships.

Thesis format requirements are described in the KAUST Thesis and Dissertation Guidelines.


Students may select a KAUST faculty member from another program to act as a research advisor (for either thesis or directed research), but must provide a one-page description of the research and an explanation of how such research would be relevant to the degree program. Upon approval by the program and the Dean, the faculty member would be allowed to act as an affiliated faculty member and advisor for the student.

Please Note: Degree Programs may have additional requirement to those listed above.

Program Descriptions

The Master's and Doctoral degree program requirements represent general university-level expectations. The specific details of each degree requirements are outlined in the descriptions of the individual degree programs.

Ph.D. Program ​

We are now accepting applications for Spring 2017. Apply now!​

Admissions

Ph.D. students apply for and enter a specific degree program. A faculty advisor is either immediately designated (in the case of a student being recruited by a specific faculty member) or temporarily assigned; in the latter case, the student is expected to identify a research advisor by (at the latest) the end of the first year.

There are three phases and associated milestones for Ph.D. students:

• ​Passing a qualifying exam;
• Passing an oral defence of the dissertation proposal
• Dissertation phase with a final defense milestone.

Ph.D. Degree Requirements

Ph.D. program requires the successful completion of at least 96 credit hours, (inclusive of previous Masters Degree coursework). Qualification and advancement to candidacy are contingent upon: (i) successfully passing Ph.D. coursework, (ii) designating a research advisor, (iii) successfully passing a qualifying exam, and (iii) writing and orally defending a research proposal. Possible outcomes include pass, failure with complete retake, failures with partial retake, and failure with no retake. Students not permitted to retake the exam, or who fail the retake, will be dismissed from the University. The maximum allotted time for advancement to candidacy for a student entering with a M.S. degree is two years; three years for students entering with a B.S.

Satisfactory participation in KAUST's Summer Session and Winter Enrichment Period (WEP) is mandatory. Summer Session courses are credit bearing and apply toward the degree. WEP courses do not earn credit towards the degree.

The required coursework is outlined below:

M.S. Degree

• Core courses
• Elective courses 

Ph.D. Degree

• Two or more courses at the 300 level
• Graduate seminar if required by the program.

Students entering the program with a relevant M.S. from another institution may transfer coursework toward the requirements of the M.S. degree listed above upon approval of the program.

Students entering the program with a M.S. from KAUST may transfer coursework toward both the M.S. and Ph.D. requirements listed above upon approval of the program and based on their program of study at KAUST.

Students entering with a B.S. from another institution may transfer in up to 9 credits of graduate level coursework towards the above requirements upon approval of the program. In addition, students entering with a B.S. may also qualify to earn a M.S. degree by satisfying the MS degree requirements as part of the Ph.D. program.

Some degree programs may require a diagnostic entrance exam as a basis for admission, and students may be required to complete additional coursework depending on their degree-granting institution. If the M.S. degree is from a subject other than the Ph.D. degree program, there may be additional courses required and specified by the advisor. 

Candidacy

Achieving Ph.D. candidacy is contingent upon successfully passing a qualifying examination, acceptance by the research advisor of a written research proposal and successfully passing an oral examination. Details should be confirmed in the individual degree program material. click here​ for a list of eligible faculty advisors for any degree program.


Passing the qualification phase is achieved by acceptance of all committee members of the writtesn proposal and a positive vote of all but, at most, one member of the oral exam committee. If more than one member casts a negative vote, one retake of the oral defense is permitted if the entire committee agrees. A conditional pass involves conditions (e.g., another course in a perceived area of weakness) imposed by the committee, with the conditional status removed when those conditions have been met. Once constituted, the composition of the qualification phase committee can only be changed upon approval by both the faculty research advisor and the division dean.

Dissertation Research Credits

Besides coursework (6 or more credit hours), dissertation research (course number 397) must be earned during the first (proposal preparation and defense) and second phases of the Ph.D. program. A full-time workload for Ph.D. students is considered to be 12 credit hours per semester (courses and 397) and 6 credit hours in summer (397 only). There is a minimum residency requirement (enrolment period at KAUST) of 2.5 years for students entering with an M.S. degree, 3.5 years for students entering with a B.S. degree. The maximum enrolment period is 5.0 years, extendable upon approval of both the faculty research advisor and the division dean.

Dissertation and Dissertation Defense

The Dissertation Defense is the final exam of the Ph.D. degree. It involves a public presentation of the results of the dissertation research followed by a question and answer session. The Dissertation and Defense committee consists of 4 members of which at least 3 must be KAUST faculty members. The committee Chair plus one other member must be an affiliated faculty member. The committee must also include one external examiner who must write a report on the thesis and attend the thesis defense. Qualified Visiting Professors may be involved as on-campus committee members. It is the responsibility of the student to inform the dissertation committee of his/her progress and meet deadlines for submitting defense date and graduation forms. It is expected that students will submit their dissertations to their committee six weeks prior to the defense date in order to receive feedback from the committee members in a timely manner. However, the advisor may approve exceptions to this expected timeline. The dissertation format requirements are described in the KAUST Thesis and Dissertation Guidelines.


The result of the defense will be made based on the recommendation of the committee. There are four possible results: (1) Pass: the student passes the exam and the dissertation is accepted as submitted; (2) Pass with revisions: the student passes the exam and the student is advised of the revisions that must be made to the text of the dissertation; (3) Failure with retake: normally this means the student must do more research to complete the dissertation. The student must revise the dissertation and give another oral examination within six months from the date of the first defense; and (4) Failure: the student does not pass the exam, the dissertation is not accepted, the degree is not awarded, and the student is dismissed from the University.

Program Descriptions

The Master's and Doctoral degree program requirements listed above represent general university-level expectations. The specific details of each degree requirements are outlined in the descriptions of the individual degree programs.

IDB-KAUST Joint PhD Scholarship Program

Scholarships sponsored jointly by King Abdullah University of Science and Technology (KAUST) and the Islamic Development Bank (IDB) to study at KAUST.

About the Program

The IDB-KAUST PhD Scholarship Program was established in 2012 within the scope of the IDB Merit Scholarship Program and the KAUST PhD Program. Under the scholarship program, citizens of IDB member countries are eligible to apply for the scholarship to study at KAUST for a full-time 4-year PhD. The Program is jointly funded by IDB and KAUST to award 5 scholarships annually. The scholarship is a fully funded program as per the KAUST rules and procedures will be supported throughout the eligible duration of the study program. Visit the KAUST Admissions page for PhD program details.

Requirements

The candidate must be:

• ​A citizen of an IDB member country (visit the IDB Merit Scholarship Program for a full listing of member countries)
• Age not over 35 years
• Engaged in full-time employment in an academic, research or development institute in the home country and the application is nominated by that institution
• Meets the eligibility criteria of the IDB Merit Scholarship Program
• Have a firm admission offer at the KAUST for a PhD program

Selection of candidates under this joint program will be within the scope of the IDB Merit Scholarship Program. Interested candidates must follow these criteria and procedures to apply for the scholarship. Information about IDB and KAUST is available from their respective websites.

Contact

Scholarship Division
Islamic Development Bank
Qasr Khuzam,
Al Malik Khalid Road,
Jeddah 21432,
Saudi Arabia
Tel. (9662) 646 6833 / 6835
Fax. (9662) 646 6887
e-mail:scholar@isdb.org
website: www.isdb.org

If you have questions concerning admission to KAUST please email: admissions@kaust.edu.sa


See KAUST's admissions requirements for more information.

​​​​KAUST Research Centers

• Advanced Membranes and Porous Materials, Explore Center

• Catalysis, Explore Center

  Clean Combustion, Explore Center

  Computational bioscience, Explore Center

  Desert Agriculture, Explore Center

  Extreme Computing, Explore Center

  Others, Explore Center

  
  

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PhD position in "Computational Physics and Materials Science" at KAUST, Saudi Arabia

King Abdullah University of Science and Technology (http://www.kaust.edu.sa) invites applications for Ph.D. fellowships in the field of "Computational Physics and Materials Science".

The positions are available immediately and will be open until filled.

Potential topics include:
- Materials for thermoelectric applications
- Interfaces and surfaces
- Two-dimensional materials
- Nanoparticles for energy applications
- Correlated materials, in particular, oxides
- Materials for spintronics
- Electronic transport calculations
- Molecular dynamics
- Methodology and code development

Study Program: 

Fellowships are available for both the BSc-to-PhD (5 years) and MSc-to-PhD (3 years) tracks. 

Scholarship worth: 

Besides free housing and healthcare, a generous stipend (US $25000 and $30000 per year, respectively, before and after passing the Ph. D. qualifying exam) is provided.

How to apply:

Please submit a full CV (including previous experience, a short statement of research interests, English language test results and the preferred starting date) to Dr. Nirpendra Singh by e-mail: Nirpendra.Singh@kaust.edu.sa. 

Subject to the apply:

Please use the subject PhD-2017.

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PhD Position at New Jersey, USA in DFT Calculations of Energy Materials

The Department of Mechanical and Industrial Engineering (http://mie.njit.edu) at the New Jersey Institute of Technology (http://www.njit.edu), United States has opening for one fully funded PhD position. The position will start from Spring 2017 (January 2017). Application deadline is end of August 2016. Interested candidates should apply as soon as possible. 

Candidate must have experience in DFT calculations.

Research Description: 

Selected student will primarily work on Density Functional Theory (DFT) calculations of Energy Materials (e.g. First Principles Modeling in Lithium Ion Batteries; Nanomaterials/Nanoparticle for Energy Storage and Conversion). To get ideas, candidate can take a look at this paper:

https://www.academia.edu/8232024/CARBON_Enhanced_Lithiation_in_Defective_Graphene

Candidate will have the opportunity to collaborate with other research groups at NJIT and many other institutions in all over the world.

Candidate’s background:  

• The position requires an undergraduate/master degree or equivalent within Nanotechnology, Materials Science, Physics, Chemistry, Civil/Mechanical/Aerospace/Chemical Engineering.

• Candidate must be motivated for advanced research. S/he needs to have persistence, perseverance, strong determination, and dedication.

• Background in Density Functional Theory (DFT) is must. Must have proven knowledge of working with DFT codes such as VASP, ABINIT etc.

• Strong coding skills in Matlab, Python, Shell scripting is preferred.

Funding: 

The position is fully funded (tuition fee, health insurance everything will be covered). Candidate will be Teaching Assistant for one course for first four semesters. S/he will receive monthly stipend of around $2000. Candidate will be paid for travel and accommodation for at least two conferences every year.

Profile of the Project Supervisor: 

Dr. Dibakar Datta (http://www.dibakardatta.com/) will supervise the candidate. Dr. Datta received his PhD from Brown University (2015) and postdoctoral training at Stanford University (2015-2016).

Application:

Interested candidates should send an email with detail CV to Dr. Dibakar Datta (Email address: dibakar_datta@alumni.brown.edu).

For any question about this position, candidate should contact Dr. Dibakar Datta by email. For further detail, please visit his homepage: http://www.dibakardatta.com/

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Just an email to the supervisor for PhD positions at University of Duisburg-Essen "(DFT studies of oxide interfaces and electronic excitations)"

Modelling: 
A First principles modelling of novel electronic phases at oxide heterostructures relevant for electronics, spintronics and energy conversion applications.

Main focus of research: 
Investigation of nanoscale themoelectric materials and electronic excitations at metal/metaloxide interfaces based on density functional theory and beyond.

Collaborations: 
The research will involve intensive collaborations with experimental groups within collaborative research programs SFB/TR80 and SFB1242.

Requirements: 
We invite applications from highly qualified and motivated individuals with Master of Science degree in physics, materials science or chemistry. Prior experience with density functional theory methods is desirable, experience with time-dependent DFT, many body techniques such as GW or DMFT and strong computer programming skills will be an advantage. Further requirements include good written and oral communication skills in English, ability to work independently and to cooperate with both theoretical and experimental partners.

University Experience in materials science and its Location:
The Faculty of Physics of the U Duisburg Essen has strong tradition in condensed matter theory and experiment, magnetism and surface science. The campus is located in a green residential area of Duisburg, North Rhine Westfalia, in proximity to further big cities, e.g. Düsseldorf, Essen and Cologne.

How to apply:
Please send your application (including a one-page cover letter addressing your research interests and motivation, curriculum vitae, copies of Master/BSc certificates and contact information of two references) to Prof. Dr. Rossitza Pentcheva (sekretariat-AGPentcheva@uni-due.de). Evaluation of candidates will start immediately and continue until the position is filled.

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