Postdoc Position in Statistical Learning Theory for Causal Inference
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Odense M
The Data Science and Statistics Group, Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark invites applications for a postdoc position within the field of statistical learning theory to be filled as soon as possible, earliest by 1 September 2022 for a period of three years. Application deadline: 1 April 2022.
The research project aims to deepen our analytical understanding of the theoretical properties of causal inference concepts in sequential decision making setups. The project will seek for major contributions to the field of statistical learning theory and its implications to theoretically-guided algorithm development. The project is funded by a prestigious domestic grant.
IMADA has the unique feature of bringing mathematicians and computer scientists together within a single department to foster theoretically-supported data science research. IMADA is home to many ongoing externally funded research projects, as well as to a rich curriculum of data science courses. The Data Science and Statistics Group is a synergy platform for the data science experts in IMADA.
We are seeking candidates with a PhD degree earned via a world-class research output in statistical learning theory, causal inference, or reinforcement learning theory documented by first-author publications at the main-track proceedings/transactions of tier-1 level fundamental machine learning research venues including ICML, NeurIPS, UAI, AISTATS, ICLR, AAAI, IJCAI, JMLR, PAMI, etc.. We expect from the candidates excellent scientific writing skills in English. The successful candidate will participate in research projects and assist in the supervision of students.
Place of work:
The Department of Mathematics and Computer Science is located at the main campus of the University of Southern Denmark, Odense, Denmark.
The University of Southern Denmark was founded in 1966 and now has more than 27,000 students, almost 20% of whom are from abroad. It has more than 3,800 employees, and 115 different study programmes in the fields of the humanities, social sciences, natural sciences, health sciences, and engineering. Its main campus is located in Odense, the third largest city in Denmark.
Odense provides family-friendly living conditions with the perfect combination of a historic city centre with an urban feel and yet a close proximity to beaches and recreational areas. Its location on the beautiful island of Funen is ideal with easy access by train or highway to the bigger cities of Aarhus and Copenhagen. As the birthplace of Hans Christian Andersen, Denmark’s famous fairytale author, the city is home to a vibrant and creative population that hosts numerous festivals and markets throughout the year.
For further questions about the position please contact Associate Professor Melih Kandemir on [email protected].
Application, salary etc.
The successful applicant will be employed in accordance with the agreement between the Ministry of Finance and AC (the Danish Confederation of Professional Associations). Please check links for more information on salary and taxation.
The application must include the following
• A letter of motivation, including details on qualifications within subject area (max. one page).
• A curriculum vitae including information on previous employment, list of programming skills mastered by the applicant, and teaching and supervision experience.
• A full list of publications stating the scientific publications on which the applicant wishes to rely.
• A certified copy of your PhD degree certificate.
• At least one letter of recommendation from supervisors or previous employers. Should your referees wish to send their letters directly to us, please have them use e-mail: [email protected] mentioning your name and the title of the position in the subject line. And please note that these also need to reach us before the deadline.
Shortlisting may be used in the assessment process.
Incomplete applications and applications received after the deadline will neither be considered nor evaluated.
To qualify you must have passed a PhD or equivalent. Applications will be assessed by an expert assessor/committee. Applicants will be informed of their assessment by the university.
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.
Applications must be submitted electronically using the link "Apply online". Attached files must be in Adobe PDF or Word format. Each box can only contain a single file of max. 10 Mb. We strongly recommend that you read How to apply before you apply.
Further information for international applicants about entering and working in Denmark.
The research project aims to deepen our analytical understanding of the theoretical properties of causal inference concepts in sequential decision making setups. The project will seek for major contributions to the field of statistical learning theory and its implications to theoretically-guided algorithm development. The project is funded by a prestigious domestic grant.
IMADA has the unique feature of bringing mathematicians and computer scientists together within a single department to foster theoretically-supported data science research. IMADA is home to many ongoing externally funded research projects, as well as to a rich curriculum of data science courses. The Data Science and Statistics Group is a synergy platform for the data science experts in IMADA.
We are seeking candidates with a PhD degree earned via a world-class research output in statistical learning theory, causal inference, or reinforcement learning theory documented by first-author publications at the main-track proceedings/transactions of tier-1 level fundamental machine learning research venues including ICML, NeurIPS, UAI, AISTATS, ICLR, AAAI, IJCAI, JMLR, PAMI, etc.. We expect from the candidates excellent scientific writing skills in English. The successful candidate will participate in research projects and assist in the supervision of students.
Place of work:
The Department of Mathematics and Computer Science is located at the main campus of the University of Southern Denmark, Odense, Denmark.
The University of Southern Denmark was founded in 1966 and now has more than 27,000 students, almost 20% of whom are from abroad. It has more than 3,800 employees, and 115 different study programmes in the fields of the humanities, social sciences, natural sciences, health sciences, and engineering. Its main campus is located in Odense, the third largest city in Denmark.
Odense provides family-friendly living conditions with the perfect combination of a historic city centre with an urban feel and yet a close proximity to beaches and recreational areas. Its location on the beautiful island of Funen is ideal with easy access by train or highway to the bigger cities of Aarhus and Copenhagen. As the birthplace of Hans Christian Andersen, Denmark’s famous fairytale author, the city is home to a vibrant and creative population that hosts numerous festivals and markets throughout the year.
For further questions about the position please contact Associate Professor Melih Kandemir on [email protected].
Application, salary etc.
The successful applicant will be employed in accordance with the agreement between the Ministry of Finance and AC (the Danish Confederation of Professional Associations). Please check links for more information on salary and taxation.
The application must include the following
• A letter of motivation, including details on qualifications within subject area (max. one page).
• A curriculum vitae including information on previous employment, list of programming skills mastered by the applicant, and teaching and supervision experience.
• A full list of publications stating the scientific publications on which the applicant wishes to rely.
• A certified copy of your PhD degree certificate.
• At least one letter of recommendation from supervisors or previous employers. Should your referees wish to send their letters directly to us, please have them use e-mail: [email protected] mentioning your name and the title of the position in the subject line. And please note that these also need to reach us before the deadline.
Shortlisting may be used in the assessment process.
Incomplete applications and applications received after the deadline will neither be considered nor evaluated.
To qualify you must have passed a PhD or equivalent. Applications will be assessed by an expert assessor/committee. Applicants will be informed of their assessment by the university.
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.
Applications must be submitted electronically using the link "Apply online". Attached files must be in Adobe PDF or Word format. Each box can only contain a single file of max. 10 Mb. We strongly recommend that you read How to apply before you apply.
Further information for international applicants about entering and working in Denmark.
Information og data
Denne ledige stilling har jobtypen "Forsker", og befinder sig i kategorien "Sundhed og forskning".
Arbejdsstedet er beliggende i Odense M.
Jobbet er oprettet på vores service den 13.1.2022, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
- Forsker
- Odense M
- Fredag den 01. april 2022
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