[SocBiN] Job at SLU, Uppsala: associate senior lecturer in intelligent data analysis

[Lars Arvestad]

SLU and De Laval are seeing needs for more advanced modelling and analysis of how cows move. To stimulate research in this area, they are funding a position at SLU in Uppsala.

	Lars



--
Swedish e-Science Research Center
Science for Life Laboratory
Dept of Num Analysis and Computer Science
Stockholm University


Begin forwarded message:

> From: "Fredholm, Martin" <Martin.Fredholm at delaval.com>
> Subject: Kontakter inom NADA för SLU tjänst?
> Date: 13 Feb 2014 10:26:03 GMT+1
> To: "prefekt at nada.su.se" <prefekt at nada.su.se>
> Cc: "fuansv at csc.kth.se" <fuansv at csc.kth.se>
> 
> Hej Lars,
>  
> Hittade dina kontaktuppgifter på WWW. Jag hjälper vår forskningschef Charlotte Hallén Sandgren att leta
> lämpliga kandidater inom matematikvärlden till SLU. DeLaval har samarbete med SLU och vi ser fantastiska möjligheter med denna forskning.
> Enligt Lars Eldén så kan NADA ha lämpliga kandidater.
>  
> SLU har utlyst tjänsten. Se nedan:
>  
> Länken verkar inte fungera just nu. Jag kopierar in annonsen också.
> http://www.slu.se/sv/om-slu/fristaende-sidor/aktuellt/lediga-tjanster/las-mer/?eng=1&Pid=1345
>  
>  
> Associate Senior Lecturer in intelligent data analyses within animal science
> at the Department of Animal Nutrition and Management
> 
> The trend in dairy production is toward fewer but larger herds that rely on decision-support systems based on automated recordings. There are already many devices available for automatic recording and others are under development. The rapid development in molecular biology allows for routine genotyping of cows for a large number of DNA markers. This wealth of information can be used to improve decision making with respect to feeding, health management, and breeding, but advanced analytical methods are required to fully capitalize on their value. The faculty of Veterinary Medicine and Animal Science at SLU is making a special effort within this area in the “Beijer Laboratory for Animal Science", supported by the Beijer Foundation, and we are therefore recruiting two researchers that will collaborate closely in order to deliver novel tools and methods to breed and manage our next generation of dairy cows.
> 
> Subject area: The subject is intelligent data analysis within animal science, i.e. development of systems for integrating data from automated dairy production recordings as decision support for the optimization of production, health, and efficiency at both the level of the individual cow and that of the group.
> 
> Duties: The holder of the position is expected to develop a research area related to the development of methods to integrate data collected from different sensors positioned in barns with automated measurement systems. Based on these data, deviating production patterns, feed consumption, and behavior predicting onset of health problems or heat, will be detected. Development of detection models should enable control of individual management and production control of cows in large herds. Examples of potential techniques are time-series analyses, multivariable correlation analyses, and visual data analyses. The holder of the position will collaborate closely both with the other Beijer researcher being recruited and with other researchers within the faculty.
> 
> Qualifications:
> In order to qualify for appointment as an associate lecturer the applicant must hold a doctorate or have achieved equivalent academic competence. Applicants who have achieved this qualification more than seven years prior to the application deadline will be prioritized. For an appointment as associate senior lecturer, the candidate must be scientifically proficient in the subject area of the position. The position requires a PhD in statistics, applied mathematics, physics, or a closely related field. Experience in complex, high-dimensional, predictive modeling is required.
> 
> Assessment criteria:
> On consideration for appointment as associate senior lecturer the emphasis is primarily put on qualitative indicators of the applicant's academic skills. Furthermore, the assessment also includes evaluating the applicant's ability to develop an independent line of research within the research field, and to meet the requirements for promotion to senior lecturer in the context of the employment qualifications. A position of associate senior lecturer normally requires that the applicant has experience in research environments outside SLU corresponding to a post-doctoral period, or doctoral exam from another university. Experience in applying numerical analyses to biological problems, tackling biological problems with an interdisciplinary approach, and having a broad international network within the subject, are merits.
> 
> Place of work: Uppsala
> 
> Form of employment: Permanent, employment is for a limited period of time, in accordance with the Higher Education Ordinance. An associate senior lectureship is a qualifying position, and the first step in an academic career at SLU. An associate senior lecturer is entitled during their employment period to apply for review for promotion to senior lecturer.
> 
> Extent: 100%
> 
> Starting date: By agreement
> 
> The scientific and pedagogic documentation submitted in support of the application shall be indicated in the application, and one copy of each document shall be made available to the Registrar at the time of application. At most 5 scientific publications and at most 5 pedagogic publications, including popularized versions, should be submitted in support of the application. In addition a complete list of publications shall be supplied; the publications submitted with the application must be indicated. When expert reviewers have been appointed, the applicant(s) will be informed to send copies of the documentation listed in the application to each one of the reviewers.
> 
> Application:
> We welcome your application marked with Ref no. SLU ua 315/2014. 
> 
> Please submit your application to the Registrar of SLU, P.O. Box 7070, SE-750 07 Uppsala, Sweden orregistrator at slu.se no later than March 10, 2014.
> 
> SLU is an equal opportunity employer.
> 
> The Swedish University of Agricultural Sciences (SLU) develops the understanding and sustainable use and management of biological natural resources. The university ranks well internationally within its subject areas. SLU is a research-intensive university that also offers unique degree programmes in for example rural development and natural resource management, environmental economics, animal science and landscape architecture.
> 
> SLU has just over 3,000 employees, 5,000 students and a turnover of SEK 3 billion. The university has invested heavily in a modern, attractive environment on its campuses in Alnarp, Skara, Umeå and Uppsala.
> 
> The Faculty of Veterinary Medicine and Animal Science (VH) is responsible for research, teaching, environmental monitoring and assessment as well as outreach and collaboration in the fields of veterinary medicine, including veterinary nursing, and animal science. Together with the other SLU faculties, the VH Faculty is also active in the fields of food, production, health, quality of life, environment and water.
> 
> The majority of the VH Faculty’s 400 employees and 1200 students are based on Campus Ultuna, in Uppsala. The VH Faculty houses eight departments and a large number of collaborative centres.
> 
> Further information:
> Kerstin Svennersten-Sjaunja 
> Professor 
> +46(0)18-67 20 03 
> kerstin.svennersten at slu.se
> 
> Further information about the formal application process:
> Ingrid Hemström 
> Administrative Officer 
> +46 (0)18-67 16 94 
> ingrid.hemstrom at slu.se
> 
> A guide for applicants "Appointment procedures for SLU" and a "Memorandum for Guidance in connection with applications for appointment/promotion to professor and senior lecturer at SLU" can be found at internt.slu.se. Documentation of scientific, pedagogical and other qualifications must be presented in accordance with the instructions given in these documents.
> 
> Academic union representatives:
> Anneli Lundkvist, SACO
> +46 (0)18 67 27 12
> 
> Lotta Olsson, ST
> +46 (0)18 67 15 36
> 
>  
>  
> Jag provar ringa dig på 524 814 28 för att diskutera detta.
>  
> Mig når du bäst på mobilen:
> Mob: 0734 13 14 78
>  
> Mvh
> /Martin Fredholm
>  
>  
> Martin Fredholm
> System Designer, Electronic Engineering
> Product Area Milking Systems
> DeLaval International AB
> Box 39, SE-14721 Tumba, Sweden
> Tel +46 8 530 661 87
> martin.fredholm at delaval.com 
> www.delaval.com
> 
> "This is an e-mail from a DeLaval company. This e-mail is confidential
> and may also be privileged. Please delete the email and notify us
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> Thank you."

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