Postgraduate Scholarships
PhD student in Computer Science within WASP Graduate School
Skilled and committed employees are a crucial factor in the success of Linköping University. And we need more of them. Our core expertise comes from teachers and researchers, but a successful university requires experienced and motivated employees in many fields. Everyone is important. We need to recruit many new employees due to retirement among our current staff and an expansion in our research activity. We need you here. We look forward to receiving your application!
The Department of Computer and Information Science was founded in 1983 but its roots go back to the early 1970s. It is one of the largest computer science departments in northern Europe.
Our research covers a broad spectrum of fields, from core to applied computer sciences. Its vast scope also benefits our undergraduate and graduate programmes, and we now teach courses in several engineering programmes at bachelor’s and master’s levels, as well as the programmes in statistics, cognitive science and innovative programming.
Read more at https://liu.se/en/organisation/liu/ida
LINKÖPING UNIVERSITY
Hereby advertises up to two (2) positions as PhD student in Computer Science, formally based at the Department of Computer and Information Science.
Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, and provides a platform for academic research and education, fostering interaction with Sweden’s leading technology companies. The program addresses research on artificial intelligence, autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems.
The graduate school within WASP is dedicated to provide the skills needed to analyze, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous systems and software. Through an ambitious program with research visits, partner universities, and visiting lecturers, the graduate school actively supports forming a strong multi-disciplinary and international professional network between PhD-students, researchers and industry. Further information can be found here .
Duties
As a PhD student you will primarily devote yourself to your research. As a PhD student you are limited to work with education and administration up to 20 percent of full time.
Project Description – Methods for Analysing Infinite-domain Constraint Satisfaction Problems
Constraint Satisfaction Problems (CSP) are a well-known and important class of computational problems with a wide range of applications within computer science, artificial intelligence, and mathematics. An instance of the constraint satisfaction problem consists of a set of variables, a set of possible variable values (known as the domain), and a set of constraints which impose restrictions on value assignments to the variables. To solve such a problem, a value has to be found for each variable so that all the constraints are satisfied. The computational complexity of CSP problems has been intensively studied during the last decades, and several breakthrough results have recently been presented for the finite-domain case. These results are to a large extent based on utilising methods from universal algebra and mathematical logic. This project aims at developing new mathematical methods for analysing the computational complexity of infinite-domain CSP problems—such problems have very interesting applications within AI. The project aim at methods for studying computational aspects of infinite-domain CSPs in a broad sense: both separating polynomial-time solvable cases and computationally hard cases, and analyse the concrete time complexity of hard problems.
Qualifications
Qualified to PhD studentships are only those who are or have been admitted to graduate studies.
The candidates should have strong backgrounds in computer science and mathematics. In particular, a strong interest in discrete mathematics, logic, and computational complexity is desirable. The project is primarily oriented towards theoretical work.
Appointment time
The appointment will be until further notice for a maximum of one year at a time. A doctoral student may not be employed during a period exceeding eight years. The total time of appointment must not exceed the equivalent of four years´ full time research training.
Starting date
By agreement
Salary
The salary for PhD students is based on the department’s salary scale.
Union representatives
For contact with union representatives see below.
Application procedure
Apply for the position by clicking the “Apply” button below. Your application must be received at latest May 18, 2018.
Applications and documents received after the date above will not be considered.
Equal opportunities
A majority of our Phd students within the department are men, which is why precedence will be given to women in cases where qualifications are deemed otherwise equivalent.
Linköping University will continue to develop as an attractive and creative place of work, characterized by equal terms and actively works for equality and diversity.
We look forward to receiving your application!
Linköping university has framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as from vendors of job advertisements.
Contact person
URL to this pagehttps://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=8353&rmlang=UK
Postgraduate Scholarships
Classroom Assistant II (Part Time-4 Positions)
Position Details
Recruitment/Posting Title | Classroom Assistant II (Part Time-4 Positions) |
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Posting Number | 18TM0693 |
Department | Ctr-Strategic Urban Ldrshp-Cmd |
Overview | |
Posting Summary |
The Classroom Assistant will support the classrooms serving children from ages 0-3 years and creating and maintaining a safe and stimulating environment for young children. This position is responsible for daily care of the children enrolled in his/her class. Responsibilities may include, but are not limited to, the following: physical caregiving, following an age appropriate daily plan, and facilitation of supportive relationships with co-workers, parents, and students. The Classroom Assistant II ensures, supports, and promotes each child’s safety, health, and development in cooperation with their families and other early childhood professionals in a manner consistent with NAEYC, NJDHS and child care licensing regulations |
Position Status | |
Hours Per Week | 19.5 |
Daily Work Shift | |
FLSA | Nonexempt |
Position Salary | $10-$12 per hour |
Payroll Designation | PeopleSoft |
Terms of Appointment | Temporary Staff Appointment – Hourly |
Minimum Education and Experience |
AA degree, preferably in the field of Early Childhood Education of Child Development from an accredited public or private institution of higher education. Child Development Associate (CDA) credential for Preschool Caregivers required or an equivalent credential that addresses comparable competencies; or must obtain the credential within one year of employment as a Classroom Assistant II. |
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Preferred Qualifications | |
Required Knowledge, Skills, and Abilities |
Must have (or be willing to obtain) training and experience necessary to develop consistent, stable, and supportive relationships with very young children. Ability to work as part of a multi-program/disciplinary team in providing a variety of services to children and families. Experience working with children from low income families. Valid First Aid/CPR card, food handler’s card, negative TB test, and clear criminal background check required. |
Equipment Utilized | |
Physical Demands and Work Environment | |
Special Conditions |
Posting Open Date | |
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Posting Close Date | |
Open Until Filled | No |
Special Instructions to Applicants | |
Regional Campus | Rutgers University-Camden |
Home Location Campus | Rutgers University-Camden |
Location Details |
Postgraduate Scholarships
Osteoporosis Prevention & Treatment Ctr Student Worker
Working Title | Osteoporosis Prevention & Treatment Ctr Student Worker |
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Anticipated Starting Academic Term | Fall |
Job Type | Student |
Job Category | Administrative/Office Support |
Federal Work Study Required? | No |
Job Summary | The student will be involved in patient relations, answer phones, scheduling patient appointments, study recruitment assistance, database entry, filing, copying, faxing |
Job Requirements | Prior customer service experience, familiarity or interest in medicine/medical terminology and Microsoft Office |
Child Protection Clearances | The following PA Act 153 clearances and background checks may be required prior to commencement of employment and as a condition of continued employment: PA State Police Criminal Record Check, FBI Criminal Record Check, PA Child Abuse History Clearance. |
Hourly Pay Rate | $7.65 |
Anticipated Number of Openings | 2 |
Anticipated Hours per Week | 10-20 |
Anticipated Weekly Schedule | flexible |
Campus | Pittsburgh |
Primary Work Location | Kaufmann Bldg, Suite 1110 |
Posting Number | S-07648-P |
The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EEO/AA/M/F/Vets/Disabled
Postgraduate Scholarships
Student Software Developer (FALL)
Student Software Developer (FALL) –
Job Number:
183298
Organization
: CIMMS
Job Location
: United States-Oklahoma-Norman
Schedule
: Part-time
Work Schedule: Flexible, 10-20 hours per week
Salary Range: $10.00
Benefits Provided: No
Required Attachments: Resume, Academic Transcripts, Class Schedule
Job Description
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The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) seeks to fill a Student Assistant position to contribute to CIMMS Meteorological Phenomena Identification Near the Ground (mPING) project (http://mping.ou.edu/).
The principal duties of this position are:
Job Requirements
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Required Education: Must be currently enrolled in the current Fall 2018 Term as a student at the University of Oklahoma. Hiring contingent upon verification of current student status.
- Must attach Fall 2018 oZONE class schedule.
Skills:
- Strong computer programming skills with particular emphasis on Python and PostgreSQL
- Strong familiarity with the UNIX/Linux operating environment and web services such as Nginx, Django and RESTful web applications
Department Preferences:
- Optional experience with mobile app development on Android and/or iOS is a plus
- Experience debugging and/or trouble shooting software and hardware issues
- Experience working with complex software applications and web-based communications
- Excellent oral and written communication skills
- Ability to work both independently and cooperatively with others
Special Instructions: If you are selected as a final candidate for this position, you will be subject to The University of Oklahoma Norman Campus Tuberculosis Testing policy. To view the policy, visit https://hr.ou.edu/Policies-Handbooks/TB-Testing
Hiring contingent upon a Background Check?: Yes
Special Indications: None
Job Posting
: Oct 30, 2018
Unposting Date
: Ongoing