There is an open 21 month post doc position at the Department of Computer Science Aarhus University. The start date is 01.04.2022 or after mutual agreement.
Application Deadline: 15 December 2021.
We are seeking candidates with strong interest and expertise in algorithm development in relation to a new project on developing tensor based algorithms for usage in chemistry using a combined computer science and theoretical chemistry perspective. The project will involve working in a focused team including Assoc. Prof. Kasper Green Larsen (Algorithms, Data Structures and Foundations of Machine Learning, Department of Computer Science, Aarhus University, https://cs.au.dk/research/algorithms-data-structures-and-foundations-of-machine-learning/), and Prof. Ove Christiansen (Theoretical Chemistry, Department of Chemistry, Aarhus University, homepage https://chem.au.dk/en/research/research-areas-and-research-groups/theoreticalchemistry/midas/) and two post docs. This is the job add for one of these postdoc positions. This team is embedded in the bigger Larsen and Christiansen groups at the computer science and chemistry departments at Aarhus University.
The ideal candidate has a Ph.D. degree in theoretical Computer Science, Chemistry, Physics, or related disciplines. Important background includes strong analytical abilities and expert programming skills. Collaborative skills are necessary as well as a high level of independence. Other key-words of notice are numerical linear algebra, sketching, dimensionality reduction, tensors, iterative algorithms. Previous experience with C++ programming will be considered an advantage.
The project team will develop, test, and apply methods for tensor decomposition. A key focus point is the CANDECOMP/PARAFAC (CP) decomposition. We will develop new and more efficient and accurate CP based algorithms that can have a large impact in theoretical chemical computations. One target is supporting efficient computation of energies, spectra, and wave functions for nuclear motion (https://doi.org/10.1063/1.5001569, https://doi.org/10.1063/5.0037240). Another focus point is the exploration of novel alternative tensor formats, their generalizations, and efficient algorithms. Finally, tensor decomposition as a tool for analysing experimental data will be considered.
Applications must include CV, full publication list, references and a description of qualifications. Qualified applicants are encouraged to email Kasper Green Larsen (larsen@cs.au.dk) and Ove Christiansen (ove@chem.au.dk) including this information in case of any questions.
Application Deadline: 15 December 2021.
We are seeking candidates with strong interest and expertise in algorithm development in relation to a new project on developing tensor based algorithms for usage in chemistry using a combined computer science and theoretical chemistry perspective. The project will involve working in a focused team including Assoc. Prof. Kasper Green Larsen (Algorithms, Data Structures and Foundations of Machine Learning, Department of Computer Science, Aarhus University, https://cs.au.dk/research/algorithms-data-structures-and-foundations-of-machine-learning/), and Prof. Ove Christiansen (Theoretical Chemistry, Department of Chemistry, Aarhus University, homepage https://chem.au.dk/en/research/research-areas-and-research-groups/theoreticalchemistry/midas/) and two post docs. This is the job add for one of these postdoc positions. This team is embedded in the bigger Larsen and Christiansen groups at the computer science and chemistry departments at Aarhus University.
The ideal candidate has a Ph.D. degree in theoretical Computer Science, Chemistry, Physics, or related disciplines. Important background includes strong analytical abilities and expert programming skills. Collaborative skills are necessary as well as a high level of independence. Other key-words of notice are numerical linear algebra, sketching, dimensionality reduction, tensors, iterative algorithms. Previous experience with C++ programming will be considered an advantage.
The project team will develop, test, and apply methods for tensor decomposition. A key focus point is the CANDECOMP/PARAFAC (CP) decomposition. We will develop new and more efficient and accurate CP based algorithms that can have a large impact in theoretical chemical computations. One target is supporting efficient computation of energies, spectra, and wave functions for nuclear motion (https://doi.org/10.1063/1.5001569, https://doi.org/10.1063/5.0037240). Another focus point is the exploration of novel alternative tensor formats, their generalizations, and efficient algorithms. Finally, tensor decomposition as a tool for analysing experimental data will be considered.
Applications must include CV, full publication list, references and a description of qualifications. Qualified applicants are encouraged to email Kasper Green Larsen (larsen@cs.au.dk) and Ove Christiansen (ove@chem.au.dk) including this information in case of any questions.
Application procedure
Shortlisting is used. This means that after the deadline for applications – and with the assistance from the assessment committee chairman, and the appointment committee if necessary, – the head of department selects the candidates to be evaluated. All applicants will be notified whether or not their applications have been sent to an expert assessment committee for evaluation. The selected applicants will be informed about the composition of the committee, and each applicant is given the opportunity to comment on the part of the assessment that concerns him/her self. Once the recruitment process is completed a final letter of rejection is sent to the deselected applicants.Letter of reference
If you want a referee to upload a letter of reference on your behalf, please state the referee’s contact information when you submit your application. We strongly recommend that you make an agreement with the person in question before you enter the referee’s contact information, and that you ensure that the referee has enough time to write the letter of reference before the application deadline. Unfortunately, it is not possible to ensure that letters of reference received after the application deadline will be taken into consideration.
Formalities and salary range
Natural Sciences refers to the Ministerial Order on the Appointment of Academic Staff at Danish Universities under the Danish Ministry of Science, Technology and Innovation.The application must be in English and include a curriculum vitae, degree certificate, a complete list of publications, a statement of future research plans and information about research activities, teaching portfolio and verified information on previous teaching experience (if any). Guidelines for applicants can be found here.
Appointment shall be in accordance with the collective labour agreement between the Danish Ministry of Finance and the Danish Confederation of Professional Associations. Further information on qualification requirements and job content may be found in the Memorandum on Job Structure for Academic Staff at Danish Universities.
Salary depends on seniority as agreed between the Danish Ministry of Finance and the Confederation of Professional Associations.
Aarhus University’s ambition is to be an attractive and inspiring workplace for all and to foster a culture in which each individual has opportunities to thrive, achieve and develop. We view equality and diversity as assets, and we welcome all applicants.
Research activities will be evaluated in relation to actual research time. Thus, we encourage applicants to specify periods of leave without research activities, in order to be able to subtract these periods from the span of the scientific career during the evaluation of scientific productivity.
Aarhus University offers a broad variety of services for international researchers and accompanying families, including relocation service and career counselling to expat partners. Read more here. Please find more information about entering and working in Denmark here.
Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here.
Work and life in Aarhus.
All interested candidates are encouraged to apply, regardless of their personal background. It is a priority that the successful candidate has a personality supporting positive team work. Working in Denmark offers opportunities for a good work-life balance. English is widely spoken, though Danish is the main language of campus. English is the working language.
Aarhus is Denmark’s second largest city, and forms the center of the western parts of the country on the Jutland peninsula. Recently, Aarhus has attracted international attention as a travel destination due to its unique combination of a thriving food-scene, high-quality museums, a surrounding beautiful nature, a very lively city due to the “young population”, many cultural events including music festivals etc. See e.g. the recent recommendation by CNN (https://edition.cnn.com/travel/article/aarhus-denmark-things-to-do/index.html). Aarhus is easily reached through local international airports in Jutland within 1 hour of Aarhus, or through either Copenhagen or Hamburg Airports, both situated about a 3-hour train-journey from Aarhus.
Aarhus University is consistently ranked as a top-100 university in the World and it houses both an engineering and a medical school, as well as the traditional sciences, social sciences, environmental and agricultural sciences and arts. The Department of Computer Science at Aarhus University (www.cs.au.dk) is one of the leading European computer science departments with broad research programs. It has ~40 full, associate and assistant professors, a support staff of ~20 people, ~90 PhD students and postdocs and around 800 students.
The application must be submitted via Aarhus University’s recruitment system, which can be accessed under the job advertisement on Aarhus University's website.
Deadline15 Dec
Expected start1 Apr
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