Data Specialists for the South Campus Data Lab, University of Copenhagen
The South Campus DataLab at the University of Copenhagen is looking for two full-time data specialists, starting as soon as possible. The South Campus Data Lab was established in 2020 as a data science knowledge hub, and is one of five UCPH datalabs, which are a university-wide investment to enhance and extend the use of digital methods and data science in research.
The South Campus Data Lab serves researchers from the Faculty of the Humanities, the Faculty of Law and the Faculty of Theology. The aim of the Lab is to help researchers integrate digital methods in their research projects. Digital tools and methods are employed in a variety of ways, ranging from specialized uses of machine learning models, collection and analysis of online data, database design and scripting. The tasks will be carried out in close collaboration with a large and heterogenous group of researchers and give opportunities to contribute at all stages of the research process from operationalization and data collection to analysis and vizualisations of data. Data analytical and statistical analysis skills are needed. The palette of analytical procedures will cover a wide range of techniques, ranging from visualization, clustering etc., reflecting the varied types and scale of research projects carried out at South Campus. This requires flexibility, good communication skills and patience.
The jobs include giving individual consultations on analytical problems and the development of solutions, as well as giving advice on relevant sources (e.g. online courses) for researchers to develop their own skills regarding research and also teaching on workshops. Instruction of student assistants will also be part of the job.
An important part of the job will consist of outreach in relation to the research environments and in continuously developing the lab's offers so that they correspond with new research needs and utilize new research potentials.
You will work closely together in a team consisting of two full-time data specialists, a part time lab host, as well as student assistants, and, naturally, there will also be networking with the data-specialists at the other four UCPH Data Labs.
You have a MA or a PhD in Statistics, Computer Science, Machine Learning, or a related field, combined with practical experience in both advising researchers and programming data science / data engineering tasks.
You will need to demonstrate most of the following:
- A strong understanding of statistics, as it applies to machine learning and data science problems.
- Experience with machine learning or data analysis programming.
- Strong programming skills for data science applications, e.g. R or Python
- Strong experience with social network analysis, text mining, or visualization.
- Strong competencies within data bases and statistics.
- Experience with web scraping and APIs for data collection
- Experience with advising researchers.
It is paramount that you are a pro-active teamplayer taking responsibility for your own work.
If you do not speak Danish, we expect that you will attain the fluency needed to participate in meetings etc. in Danish within 2-3 years.
You will be employed in the Research & Impact Support Office at the Faculty of Humanities (https://hum.ku.dk/omfakultetet/fakultetsservice/alle/forskning-og-impact/).
Terms of appointment and payment will be according to the agreement between the Ministry of Taxation and The Danish Confederation of Professional Associations on Academics in the State and is classified after qualifications as senior adviser (specialkonsulent). We want to reflect the surrounding community and invite everyone regardless of personal background to apply for the position.
The application, Jobportalen, in Danish or English, must be submitted electronically by clicking APPLY NOW below. Please include:
- Curriculum vitae
- Documentation for MA or Ph.D degree.
Application deadline is February 10 2023.
Questions about the position can be addressed to Lab Host, senior consultant Lene Offersgaard, Research & Impact via email: email@example.com, tel. 45 28 18 30 07.
Part of the International Alliance of Research Universities (IARU), and among Europe’s top-ranking universities, the University of Copenhagen promotes research and teaching of the highest international standard. Rich in tradition and modern in outlook, the University gives students and staff the opportunity to cultivate their talent in an ambitious and informal environment. An effective organisation – with good working conditions and a collaborative work culture – creates the ideal framework for a successful academic career.