Associate/Assistant Professor in Statistics and Data Analysis Technical University of Denmark, DTU Compute’s Section for Statistics and Data Analysis

Associate/Assistant Professor in Statistics and Data Analysis DTU Compute Apply no later than 14 May 2018 DTU Compute’s Section for Statistics and Data Analysis, invites applications for an appointment as an Associate or Assistant Professor within Statistics and Data Analysis. The position is available from June 1, 2018 or according to mutual agreement. Our department DTU Compute is an internationally unique academic environment spanning the science disciplines: mathematics, statistics and computer science. At the same time DTU Compute is an engineering department covering informatics and communication technologies (ICT) in their broadest sense. Finally, DTU Compute plays a major role in addressing the societal challenges of the digital society where ICT is a part of every industry, service, and human endeavor. DTU Compute strives to achieve research excellence in its basic science disciplines, to achieve technological leadership in research and innovation, and to address societal challenges in collaboration with partners at DTU and other academic institutions, nationally and internationally, and, equally important, with industry and organizations. DTU Compute interacts with leading centers and strategic partners in order to increase participation in major consortia. DTU Compute plays a central role in education at all levels of the engineering programs at DTU - both in terms of our scientific disciplines and our didactic innovation. The aim of the new position is to expand the Departments teaching and research in statistics and data analysis. The vision of the Section for Statistics and Data Analysis is to constantly cover as broad a selection of competencies as possible to be able to engage broadly in collaborations within the strategic research areas of DTU. Here special emphasis on the new Bachelor study line: “Artificial Intelligence and Data” is contemplated. Responsibilities and tasks The candidate is expected to actively take part in the promotion, development of and research in contemporary statistical methods and theory bordering to methods in machine learning and artificial intelligence. The applicant should be able to document a strong research potential and profile. Furthermore, the candidate will be expected to participate in one or more existing projects as well as actively applying for funding for new research projects of his/her own. The candidate is expected to participate in planning and teaching at the bachelor-, master- and PhD levels as well as continuing education and dissemination of research results at all levels. Currently the section is strongly involved in a majority of the teaching of statistics at an introductory level at DTU, in which the candidate is expected to take part. The section has an important role in research based consultancy and knowledge transfer to other departments at DTU and also externally. Thus collaborative and communicative skills are crucial. Other tasks of the position include but are not limited to: exchanging knowledge with society, including participation in the public debate, research management, guidance and supervision of assistant professors and researchers, and some academic assessment work. We envision the position will help strengthen and expand the Section’s research in e.g.: Industrial statistics Engineering oriented statistics and probability Statistical learning methods and Big Data Statistical computing, machine learning and artificial intelligence You are expected to participate in departmental teaching at all levels so you should value visionary and meaningful communication. The teaching will cover Bachelor-, Master- and PhD-level courses. Bachelor courses are taught in Danish, other courses in English. For international candidates, DTU offers Danish language courses, with the purpose of being able to teach in Danish within the first two-three years. The duties of an assistant professor include research-based teaching, research (including publication/scientific dissemination duties) and innovation. The distribution between the various duties may vary periodically, but a balance must be struck such that the assistant professor is able to develop in both research and teaching. The Section is keen to ensure that an assistant professor is given supervision and guidance, including education in university teaching. The duties of an associate professor include research, research-based teaching (with associated examination duties) and innovation. The distribution between the various tasks may vary and will be planned in collaboration with the employee’s Head of Section. The qualification requirements for the post of associate professor correspond to the level that is achievable through employment as an assistant professor. At DTU Compute, we value knowledge sharing and cross functionality. Therefore, you are expected to cooperate and be eager to build relations with colleagues within the department and with other departments at DTU. Qualifications Candidates for an Assistant Professorship must hold a PhD degree (or equivalent) Associate Professorship must hold a PhD degree (or equivalent) as well as academic qualifications equivalent to those obtained by holding an Assistant Professorship and should document didactic/pedagogic training. For both positions, the key qualification requirements are as follows: Documented scientific production/publication and research potential to become an international leader in your field. Ability and desire to contribute to the Section’s national and international collaborative efforts. Ability and desire to disseminate research results and research-based innovation in society. Assessment In the assessment of the candidates consideration will be given to Experience and quality of teaching Research impact and experience, funding track record, and research vision Societal impact Documented innovation activities, including commercialization and collaboration with industry International impact and experience Leadership potential and collaboration Communication skills We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and an academic freedom tempered by responsibility. Salary and terms of employment The appointment will be based on the collective agreement with the Confederation of Professional Associations. The allowance will be agreed with the relevant union. The assistant professor position is a permanent entry-level faculty position. After a maximum of 4 years, an assistant professor can be promoted to an associate professor position after assessment. More information can be found here: Career paths at DTU. The position will be based in the Section for Statistics and Data Analysis. Further information Further information may be obtained from Head of Section, Professor Bjarne Kjær Ersbøll, bker@dtu.dk or Head of Department, Professor Per Bruun Brockhoff, perbb@dtu.dk. You can read more about DTU Compute and the involved research sections on www.compute.dtu.dk. Application procedure Please submit your online application no later than 14 May 2018. Applications must be submitted as one PDF filecontaining all materials to be given consideration. To apply, please open the link "Apply online," fill in the online application form, and attach all your materials in English in one PDF file. The file must include: Application (cover letter) CV Views regarding teaching and research based on the “Assessment” bullets Documentation of previous teaching and research based on the “Assessment” bullets List of publications (applicants applying for the position as associate professor should indicate scientific highlights) H-index, and ORCID (see e.g. http://orcid.org/) Diploma (MSc/PhD) In the field "Please indicate which position you are applying for" you must indicate whether you are applying for position as Associate or Assistant Professor. Applications and enclosures received after the deadline will not be considered. All qualified candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply. DTU Compute has a total staff of 400 including 100 faculty members and 130 Ph.D. students. We offer introductory courses in mathematics, statistics, and computer science to all engineering programs at DTU and specialized courses to the mathematics, computer science, and other programs. We offer continuing education courses and scientific advice within our research disciplines, and provide a portfolio of innovation activities for students and employees. DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 6,000 advance science and technology to create innovative solutions that meet the demands of society; and our 11,200 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government, and public agencies. If you apply for this position please say you saw it on Computeroxy Apply

Associate/Assistant Professor in Statistics and Data Analysis

DTU Compute

Apply no later than 14 May 2018

DTU Compute’s Section for Statistics and Data Analysis, invites applications for an appointment as an Associate or Assistant Professor within Statistics and Data Analysis. The position is available from June 1, 2018 or according to mutual agreement.

Our department DTU Compute is an internationally unique academic environment spanning the science disciplines: mathematics, statistics and computer science. At the same time DTU Compute is an engineering department covering informatics and communication technologies (ICT) in their broadest sense. Finally, DTU Compute plays a major role in addressing the societal challenges of the digital society where ICT is a part of every industry, service, and human endeavor.

DTU Compute strives to achieve research excellence in its basic science disciplines, to achieve technological leadership in research and innovation, and to address societal challenges in collaboration with partners at DTU and other academic institutions, nationally and internationally, and, equally important, with industry and organizations. DTU Compute interacts with leading centers and strategic partners in order to increase participation in major consortia.

DTU Compute plays a central role in education at all levels of the engineering programs at DTU - both in terms of our scientific disciplines and our didactic innovation.

The aim of the new position is to expand the Departments teaching and research in statistics and data analysis. The vision of the Section for Statistics and Data Analysis is to constantly cover as broad a selection of competencies as possible to be able to engage broadly in collaborations within the strategic research areas of DTU. Here special emphasis on the new Bachelor study line: “Artificial Intelligence and Data” is contemplated.

Responsibilities and tasks

The candidate is expected to actively take part in the promotion, development of and research in contemporary statistical methods and theory bordering to methods in machine learning and artificial intelligence. The applicant should be able to document a strong research potential and profile. Furthermore, the candidate will be expected to participate in one or more existing projects as well as actively applying for funding for new research projects of his/her own.

The candidate is expected to participate in planning and teaching at the bachelor-, master- and PhD levels as well as continuing education and dissemination of research results at all levels. Currently the section is strongly involved in a majority of the teaching of statistics at an introductory level at DTU, in which the candidate is expected to take part.

The section has an important role in research based consultancy and knowledge transfer to other departments at DTU and also externally. Thus collaborative and communicative skills are crucial.

Other tasks of the position include but are not limited to: exchanging knowledge with society, including participation in the public debate, research management, guidance and supervision of assistant professors and researchers, and some academic assessment work.

We envision the position will help strengthen and expand the Section’s research in e.g.:

Industrial statistics
Engineering oriented statistics and probability
Statistical learning methods and Big Data
Statistical computing, machine learning and artificial intelligence

You are expected to participate in departmental teaching at all levels so you should value visionary and meaningful communication. The teaching will cover Bachelor-, Master- and PhD-level courses. Bachelor courses are taught in Danish, other courses in English. For international candidates, DTU offers Danish language courses, with the purpose of being able to teach in Danish within the first two-three years.

The duties of an assistant professor include research-based teaching, research (including publication/scientific dissemination duties) and innovation. The distribution between the various duties may vary periodically, but a balance must be struck such that the assistant professor is able to develop in both research and teaching. The Section is keen to ensure that an assistant professor is given supervision and guidance, including education in university teaching.

The duties of an associate professor include research, research-based teaching (with associated examination duties) and innovation. The distribution between the various tasks may vary and will be planned in collaboration with the employee’s Head of Section. The qualification requirements for the post of associate professor correspond to the level that is achievable through employment as an assistant professor.

At DTU Compute, we value knowledge sharing and cross functionality. Therefore, you are expected to cooperate and be eager to build relations with colleagues within the department and with other departments at DTU.

Qualifications

Candidates for an

Assistant Professorship must hold a PhD degree (or equivalent)
Associate Professorship must hold a PhD degree (or equivalent) as well as academic qualifications equivalent to those obtained by holding an Assistant Professorship and should document didactic/pedagogic training.

For both positions, the key qualification requirements are as follows:

Documented scientific production/publication and research potential to become an international leader in your field.
Ability and desire to contribute to the Section’s national and international collaborative efforts. Ability and desire to disseminate research results and research-based innovation in society.

Assessment

In the assessment of the candidates consideration will be given to

Experience and quality of teaching
Research impact and experience, funding track record, and research vision
Societal impact
Documented innovation activities, including commercialization and collaboration with industry
International impact and experience
Leadership potential and collaboration
Communication skills

We offer

DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and an academic freedom tempered by responsibility.

Salary and terms of employment

The appointment will be based on the collective agreement with the Confederation of Professional Associations. The allowance will be agreed with the relevant union.

The assistant professor position is a permanent entry-level faculty position. After a maximum of 4 years, an assistant professor can be promoted to an associate professor position after assessment. More information can be found here: Career paths at DTU.

The position will be based in the Section for Statistics and Data Analysis.

Further information

Further information may be obtained from Head of Section, Professor Bjarne Kjær Ersbøll, bker@dtu.dk or Head of Department, Professor Per Bruun Brockhoff, perbb@dtu.dk.

You can read more about DTU Compute and the involved research sections on www.compute.dtu.dk.

Application procedure

Please submit your online application no later than 14 May 2018. Applications must be submitted as one PDF filecontaining all materials to be given consideration. To apply, please open the link "Apply online," fill in the online application form, and attach all your materials in English in one PDF file. The file must include:

Application (cover letter)
CV
Views regarding teaching and research based on the “Assessment” bullets
Documentation of previous teaching and research based on the “Assessment” bullets
List of publications (applicants applying for the position as associate professor should indicate scientific highlights)
H-index, and ORCID (see e.g. http://orcid.org/)
Diploma (MSc/PhD)

In the field "Please indicate which position you are applying for" you must indicate whether you are applying for position as Associate or Assistant Professor.

Applications and enclosures received after the deadline will not be considered.

All qualified candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

DTU Compute has a total staff of 400 including 100 faculty members and 130 Ph.D. students. We offer introductory courses in mathematics, statistics, and computer science to all engineering programs at DTU and specialized courses to the mathematics, computer science, and other programs. We offer continuing education courses and scientific advice within our research disciplines, and provide a portfolio of innovation activities for students and employees.

DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 6,000 advance science and technology to create innovative solutions that meet the demands of society; and our 11,200 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government, and public agencies.

If you apply for this position please say you saw it on Computeroxy

Apply