Scholarship details
This PhD job is connected to the research project known as “The European Partnership for Chemical Risk Assessment (PARC)” (which may be found at the following URL: https://www.anses.fr/en/content/european-partnership-assessment-risks-chemicals-parc). Statistical modeling, machine learning, text mining, computational science, toxicology, epidemiology, and environmental chemistry are some of the study topics that are being utilized in this project. Our contribution to the projects consists mostly on the development of computer-driven tools, such as those based on machine learning, traditional statistical approaches, and text mining, which make it possible to identify new compounds and anticipate the effects of those chemicals. The initiatives for which we are responsible for the construction and interpretation of models will result in the generation of massive amounts of data.
You will be part of a broad network of researchers across Europe as you participate in a project with the goal of creating new methods for the risk assessment of chemicals for the protection of human and environmental health.
Your task will be to make a contribution toward the creation of an early warning system for the detection of potentially dangerous compounds. This is essential for the academic community, stakeholders, policy makers, and industry in order to provide them with the ability to take action and reduce the risk of exposure at a level that could have harmful impacts on biota, including humans. Among the tasks included in this mission are the development of systems for text mining and data curation employing methodologies based on artificial intelligence, as well as screens of large scale inventories. The data obtained from a wide variety of sources will be analyzed in an effort to spot indicators of potential dangers. In order to comprehend the chemical triggers of harmful consequences, large amounts of data will be merged with biological markers for various physiological problems. This will be done with the intention of gaining knowledge. The development of models based on machine learning will take place in close collaboration with environmental chemists and (eco)toxicologists, who will supply the underlying data and give their expertise. In a nutshell, you will be tasked with working with a wide array of calculation-based methodologies, applying them to both biological and chemical data. You are expected to play an active role in the multidisciplinary cooperation that will be carried out during the course of the project, which will be carried out in close collaboration with academics coming from a variety of fields.
About the Scholarship:
Ume Institution is the fifth oldest university in Sweden and is most well-known for its Institute of Design as well as its study into genomes. In 1957, it opened its doors as a medical school, and in 1973, King Gustav VI Adolf officially renamed it Ume University. Students at this university can enjoy the northern lights, the midnight sun during the summer months, and the rough arctic scenery, which is home to free-ranging wild elk. The university is located in the northernmost section of Sweden.
The trendy City of Ume, which has a population of 120,000 and is home to museums, jazz festivals, theaters, and an opera company, is located right outside the university’s front door. It was announced in 2014 that Ume would serve as the European Capital of Culture. At this university, English is the language of instruction for more than 500 courses and 34 degree programs. This includes more than 30 two-year Master’s degree programs in fields such as science and technology, social sciences, business, health and medical, and the arts. According to the results of the International Student Barometer, Umea University consistently ranks first among Swedish universities in terms of the level of satisfaction it provides to its international students. Over 52 different languages are spoken on campus, and there are 900 different international student exchange programs available. This university attracts students and professors from all over the world. Its campus is home to many of the most accomplished local sports teams, in addition to Europe’s largest training and fitness facility, which is known as IKSU Sport.
As a result of a fire in 1888 that wiped out the majority of the city, Ume is affectionately referred to as the “City of Birches” by the locals. The city’s avenues are lined with approximately 3,000 birch trees. The planting of the birch trees was done as part of a restoration effort and also with the intention of preventing the further spread of any subsequent fires.
Since it first opened its doors, Ume University has undergone a tremendous growth spurt, going from having opening classes with a total of 446 people to having tens of thousands of students enrolled at the university now. Alumni of Ume include retired football star Hanna Ljungberg as well as Stefan Lofvén, who is currently the Prime Minister of Sweden. Emanuelle Charpentier made the discovery that led to the development of the CRISPR/cas9 tool for editing DNA at the institution.
Scholarship Sponsor(s): Umeå University
Scholarship Country: Sweden
Scholarship Worth: Fully Funded
Scholarship Type: PhD
Nationality: International Students
Scholarship Offer:
- The appointment is designed to lead to a doctoral degree, and the primary responsibility of the PhD student is to work toward completing their doctoral studies. These studies require participation in a variety of research projects in addition to attendance at postgraduate classes. Teaching and other departmental work can be included in the assignments, but only up to a maximum of 20% of the total time. The employment is restricted to a maximum of four years while working full-time and up to five years when teaching part-time. The placement of salaries occurs in accordance with the standard salary level for doctorate employment.
Eligibility for Scholarship.
- To be eligible for enrollment in classes at the third-cycle level, you must either have already earned a degree at the second-cycle level, or have satisfied the course prerequisites for a total of at least 240 ECTS credits, of which at least 60 ECTS credits must have been earned at the second-cycle level; alternatively, you must have equivalent qualifications or an education from another country
- In order to be eligible for admission to studies in computational science and engineering at the third-cycle level, the applicant is required to have completed at least 90 credits worth of coursework in computational science and engineering, with at least 30 of those credits having been acquired at the second-cycle level. Courses in computational science and engineering are classes that primarily focus on quantitative analysis, statistical modeling, or computing science. Some examples of these types of classes are courses in computing science, mathematics, and mathematical statistics. Applicants who have obtained abilities largely equivalent to those required for the position through another system, be it in Sweden or abroad, are also entitled to apply.
- We are searching for a candidate that has an interest in machine learning, artificial intelligence, statistical modeling of vast volumes of data, and the domains of environmental chemistry and human health as application areas for their work. Experience in computational chemistry and the evaluation of the dangers posed by different compounds is desirable but not required for this position. In addition, course credits in biology, ecology, and chemistry are desirable but not required; however, they are considered commendable. Experience in evaluating large volumes of data using statistical or computing science methods is a virtue, and experience in programming or software for sophisticated data assessment (such as R, Python, MATLAB, Simca, KNIME, PBPK, PBTK, ADME, QSAR, etc.) is also desirable. You are a cautious and self-reliant person who can get things done on your own. Additionally, both oral and written fluency in the English language are essential.
Students from Zambia who are interested in pursuing their engineering education in Ireland for a Master’s degree during the academic year 2023-2024 can apply for financial assistance through the Frank Ferguson Fellowship, which was established in collaboration with the Engineering Institution of Zambia and the Irish Government. This fellowship will be available to students who meet the eligibility requirements.
Nationality
The Umeå University 2022 PhD Student Position in Computational Science is open to all International Students
Application Procedure
- The following items need to be included in an application in order for it to be considered complete:
- A cover letter that includes a description of your research interests and an explanation of why you are interested in this position.
- A Curriculum Vitae
- Authenticated copies of degree diplomas or documents demonstrating an equivalent level of education, including a record of all completed coursework and grades
- The names and contact information of at least two individuals who can serve as references
- No later than the 26th of August in 2022, applications must be submitted through our electronic recruitment system.
- Please get in touch with Professor Patrik Andersson at [email protected] or call him at the number +46-703039856 for any additional information.
Application Deadline
The application deadline for the Umeå University 2022 PhD Student Position in Computational Science Is August 26, 2022
