3 PHD POSITIONS AT UPPSALA UNIVERSITY in Computer Science / Scientific Computing
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Nov 8, 2011, 5:22:56 PM11/8/11
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3 PHD POSITIONS AT UPPSALA UNIVERSITY in Computer Science / Scientific Computing:
1. Programming Languages for Parallel programming
2. Task-based programming systems
3. Parallelism in event-based models for stochastic chemical kinetics
Deadline for applications: Dec. 1
The Department of Information Technology at Uppsala University, Sweden,
is offering three PhD positions in Software Technology for Parallel
programming on multicore computer systems, placed within the UPMARC
Center of Excellence. UPMARC has been formed to make a broad coordinated
attack on the challenges of developing methods and tools to support
software development for multicore computer systems, and brings together
research groups in complementary areas of computer science: computer
architecture, computer networks, parallel scientific computing,
programming language technology, real-time and embedded systems, program
verification and testing, and modeling of concurrent computation.
UPMARC has been awarded a ten year center of excellence grant from the
Swedish Research Council, as a sign of scientific excellence.
The three Ph.D. positions are placed in the below three projects. The positions are fully funded and open to international students.
1. Programming Languages for Parallel programming:
Multicore processors are bringing parallelism into mainstream computing. As a consequence, programming languages must evolve to simplify and support parallel programming from the ground-up without abandoning the millions of lines of code in the wild using shared memory, threads and locks.
The holder of the position will be involved with design and implementation of programming language constructs and tools for a simple, efficient, and safety-focused parallel programming language based on active objects. For further description of the project, see http://upmarc.se/research/pl/facile.
Contact: tobias....@it.uu.se
Link to information and submission instructions: http://www2.personalavd.uu.se/ledigaplatser/2782PhD.html
2. Task-based programming systems:
Task-based programming provides a layer of abstraction that makes it easier for both programmers and runtime systems to reason about parallelism and performance in heterogeneous parallel systems. Yet to get the most from modern hardware, tasks must be tuned for the processor and memory system, and scheduled to minimize resource contention. This requires an intelligent runtime system that can understand task properties, reason about system performance and resources, and provide feedback to the application about the kind of tasks to create.
The holder of the position will be developing methods for improving performance and energy efficiency of task-based programs on homogeneous and heterogeneous systems. This will encompass analyzing task behavior across emerging application domains, developing techniques for feeding back runtime performance information to tune task creation, and using advanced profile information to optimize scheduling for performance and efficiency. The research will include both modeling and implementation, and will leverage the advanced analysis and modeling tools developed by the computer architecture group.
Contact: david.blac...@it.uu.se
Link to information and submission instructions: http://www2.personalavd.uu.se/ledigaplatser/2783PhD.html
3. Parallelism in event-based models for stochastic chemical kinetics:
Inside living cells, biochemical processes are often described with inherent randomness in order to account for a noisy microscopic environment. A common approach for simulating such models is to perform updates to some state-variable whenever certain events happen. These typically include reaction events and molecular movements.
The holder of the position will be involved with advancing methods for efficient simulation of event-based models on modern multicore architectures. This includes, but are not limited to, aspects of high-performance computing, a certain amount of software flexibility, and numerically approximate algorithms. The research will initially be centered around the numerical software "URDME" (see http://www.urdme.org), freely available under the GPL-license. This software simulates a quite general event-based stochastic model such that the results are of general interest in computational physics.
Contact: stefan....@it.uu.se
Link to information and submission instructions: http://www2.personalavd.uu.se/ledigaplatser/2786PhD.html
The three Ph.D. positions are placed in the below three projects. The positions are fully funded and open to international students.
1. Programming Languages for Parallel programming:
Multicore processors are bringing parallelism into mainstream computing. As a consequence, programming languages must evolve to simplify and support parallel programming from the ground-up without abandoning the millions of lines of code in the wild using shared memory, threads and locks.
The holder of the position will be involved with design and implementation of programming language constructs and tools for a simple, efficient, and safety-focused parallel programming language based on active objects. For further description of the project, see http://upmarc.se/research/pl/facile.
Contact: tobias....@it.uu.se
Link to information and submission instructions: http://www2.personalavd.uu.se/ledigaplatser/2782PhD.html
2. Task-based programming systems:
Task-based programming provides a layer of abstraction that makes it easier for both programmers and runtime systems to reason about parallelism and performance in heterogeneous parallel systems. Yet to get the most from modern hardware, tasks must be tuned for the processor and memory system, and scheduled to minimize resource contention. This requires an intelligent runtime system that can understand task properties, reason about system performance and resources, and provide feedback to the application about the kind of tasks to create.
The holder of the position will be developing methods for improving performance and energy efficiency of task-based programs on homogeneous and heterogeneous systems. This will encompass analyzing task behavior across emerging application domains, developing techniques for feeding back runtime performance information to tune task creation, and using advanced profile information to optimize scheduling for performance and efficiency. The research will include both modeling and implementation, and will leverage the advanced analysis and modeling tools developed by the computer architecture group.
Contact: david.blac...@it.uu.se
Link to information and submission instructions: http://www2.personalavd.uu.se/ledigaplatser/2783PhD.html
3. Parallelism in event-based models for stochastic chemical kinetics:
Inside living cells, biochemical processes are often described with inherent randomness in order to account for a noisy microscopic environment. A common approach for simulating such models is to perform updates to some state-variable whenever certain events happen. These typically include reaction events and molecular movements.
The holder of the position will be involved with advancing methods for efficient simulation of event-based models on modern multicore architectures. This includes, but are not limited to, aspects of high-performance computing, a certain amount of software flexibility, and numerically approximate algorithms. The research will initially be centered around the numerical software "URDME" (see http://www.urdme.org), freely available under the GPL-license. This software simulates a quite general event-based stochastic model such that the results are of general interest in computational physics.
Contact: stefan....@it.uu.se
Link to information and submission instructions: http://www2.personalavd.uu.se/ledigaplatser/2786PhD.html
Information on how to apply for each of the three positions is accessible by clicking these links:
* http://www2.personalavd.uu.se/ledigaplatser/2782PhD.html
* http://www2.personalavd.uu.se/ledigaplatser/2783PhD.html
* http://www2.personalavd.uu.se/ledigaplatser/2786PhD.html
* http://www2.personalavd.uu.se/ledigaplatser/2782PhD.html
* http://www2.personalavd.uu.se/ledigaplatser/2783PhD.html
* http://www2.personalavd.uu.se/ledigaplatser/2786PhD.html
ABOUT PH.D. POSITIONS, APPLICATIONS, AND THE DEPARTMENT.
A PhD position requires a Master of Science in Computer Science, Computer Engineering, or equivalent in a field which is relevant for the topic of the PhD thesis. The position is for a maximum of five years and includes departmental duties at a level of at most 20% (typically teaching). The salary amounts currently to about 23.000 SEK per month in the first year.
Applications should include a description of research interests and past experience, a CV, copies of exams, degrees and grades, a copy of Master thesis (or a draft thereof), relevant publications, and other relevant documents. Candidates are encouraged to provide letter(s) of recommendation and contact information to reference persons, and further to indicate their preferred research project(s), as well as earliest feasible starting date of employment. (See the submission website for instructions.)
Uppsala University is striving to achieve a more equal gender balance and female candidates are particularly invited to apply.
Some information about health- and childcare in Sweden:
Healthcare is free after a small fee in connection with the first visit to a doctor. The parental benefits in Sweden are very generous, e.g., you can take 13 months of parental leave and extend the length of your Ph.D. studies correspondingly. Childcare is of high quality and very affordable.
For more information, see http://www.it.uu.se/research/upmarc (UPMARC),
http://www.it.uu.se/ (the department) or contact: Prof. Bengt Jonsson,
bengt....@it.uu.se, or some other member of the UPMARC consortium (see upmarc.se). Union representatives are: Anders Grundström, SACO-rådet, tel +46
18-471 5380, Carin Söderhäll, OFR-S/ST, tel +46 18-471 1996, Stefan Djurström,
SEKO, tel +46 18-471 3315.
Best wishes and good luck,
M. Israr Qadir
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