Visit www.acad.jobs with all Jobs for Academics!
                
Position: Assistant professor in Machine Learning
Institution: Maastricht University
Location: Maastricht, Limburg, Netherlands
Duties: The focus of this tenure track position is to develop new machine-learning techniques such as in prediction & classification, reinforcement learning, evolutionary computation, deep learning, and transfer learning. Applications are investigated for the field of medicine, in language processing, large-scale classification problems (content, sentiment, and intention), conversational agents, question answering, and topic modeling
Requirements: We seek a colleague who is passionate about research and teaching. She/he feels at home in a strongly international and diverse community like ours. Furthermore, we are looking to welcome someone who fosters collaboration at all levels, especially in the context of a joint academia-industry appointment. Our ideal candidate has: A PhD degree in Machine Learning or a strongly related field; At least 2 years working experience in an academic environment post-PhD; A proven track record in research and teaching; Experience with funding acquisition at national and European level; Fluent mastery of the English language
   
Text: Assistant professor in Machine Learning ( Tenure Track ) Published Deadline Location today 31 Jan Maastricht We are excited to welcome a Machine Learning expert to the department, who will strengthen ongoing research and teaching at Maastricht University as assistant professor. In addition, our new colleague has the opportunity to contribute to industrial research via a joint appointment at a company. The Department of Data Science and Knowledge Engineering is growing rapidly. This position is one of multiple job openings: you are more than welcome to browse through our other vacancies. Job description Since September 2011, Maastricht University has developed bachelor and master education in the natural sciences. Currently, the total enrolment of the Faculty of Science and Engineering is about 2000 students from over 50 countries. It is the ambition of Maastricht University to further strengthen these programmes. In addition, new science and engineering programmes are currently being developed. We are searching for a talented and motivated candidate with a solid background in engineering to join our team as director of studies. Initial focus of the appointment will be on the further development and educational management of a new bachelor programme in Circular Engineering. The new Maastricht bachelor Circular Engineering will combine the disciplines of Chemical Engineering, Biotechnology and Engineering Physics in one exciting interdisciplinary degree programme with a focus on sustainability. With the growth of the faculty, the director may also become involved in the development of new programmes as well as facilitating synergy between existing programmes. The position will report directly to the Faculty Board and will become part of the educational management team of the faculty. The candidate should have a strong educational track record in a relevant field of Circular Engineering, including prior experience in educational management, accreditation and programme development, preferably in an international setting. The candidate needs to have a strong commitment to excellence in teaching, since this is an important focus area of this position. In addition to educational management, the candidate will be responsible for developing and teaching courses, skills and projects. The candidate will also have the opportunity to supervise thesis students in their research and design endeavours. The expectation is that the educational management position will be 0.4 to 0.5 fte. The remainder of the time will focus on research and educational activities, depending on the qualifications and interests of the candidate. Candidates with a multidisciplinary interest and willingness to cross boundaries between disciplines are especially encouraged to apply. The programmes at the Faculty of Science and Engineering are characterized by small-scale student-centred education. The director of studies is expected to become an active part of our community, advising students, mentoring staff, organizing activities, building a scientific network for our students and staff to explore and establishing contacts with other faculties within Maastricht, the Netherlands and across the world. The programme in Circular Engineering is closely linked to new Maastricht research institutes, bridging various engineering disciplines in an interdisciplinary manner and trains students as circular engineers who are able to provide technical solutions in the transition to a circular economy. The programme is partially offered at the Brightlands Chemelot Campus near Geleen, surrounded by industry, the Brightlands Campus Greenport Venlo, in close proximity to important agri-food players, and the Brightlands Health Campus in Maastricht, which also contains the Maastricht UMC hospital. The director of studies ensures that good working relationships with academic and industrial partners on the different campuses are established and maintained. We offer: · An appointment as an associate professor position 1.0 fte. Appointments at a different level are considered, depending on qualifications; · A temporary contract with agreed specific goals. Depending on your track record and/or as soon as the goals have been met, you will get a permanent contract; · €5039-6738 gross p/m; · An international academic environment and student community; · Family friendly university within interesting Euregion; · Partially paid parental leave; · A pension scheme; · The option to participate in collective healthcare insurance; reimbursement of sport activities; · A one-time reimbursement of your relocation costs if you are moving to Maastricht from more than 40 kilometers away; · Assistance with practical matters such as housing for candidates unfamiliar with the Netherlands, through Maastricht University’s Knowledge Centre for International Staff; · A welcoming and open work environment with a high degree of flexibility, and plenty of opportunities for collaboration and growth; · Mentoring to develop yourself as a teacher and obtain a University Teaching Qualification (BKO, for ‘basiskwalificatie onderwijs’: an official certification for teaching at Dutch universities) through a training programme, in case you are not yet certified; Specifications €3637—€4978 per month Maastricht View on Google Maps Maastricht University (UM) Requirements We seek a colleague who is passionate about research and teaching. She/he feels at home in a strongly international and diverse community like ours. Furthermore, we are looking to welcome someone who fosters collaboration at all levels, especially in the context of a joint academia-industry appointment. Our ideal candidate has: A PhD degree in Machine Learning or a strongly related field; At least 2 years working experience in an academic environment post-PhD; A proven track record in research and teaching; Experience with funding acquisition at national and European level; Fluent mastery of the English language. Conditions of employment We offer a full-time, tenure-track position starting as soon as possible. You will initially be employed on a temporary contract as an assistant professor (level 2). Together, we will set up a development plan with specific goals to meet. Five years into your appointment, we will evaluate those goals and promote you to assistant professor (level 1) on a permanent contract if the goals have been met. The evaluation can be brought forward if the goals are met earlier, or deferred at your request in case of personal circumstances such as pregnancy leave, parental leave or chronic illness. We offer a competitive salary for a full-time position of 38 hours a week. On top of your annual salary, there is an annual holiday allowance (8% of annual income) and an annual end-of-year bonus (8.3% of annual income). The position comes with a number of additional benefits, including: Partially paid parental leave; A pension scheme; The option to participate in collective healthcare insurance; A one-time reimbursement of your relocation costs if you are moving to Maastricht from more than 40 kilometers away; Assistance with practical matters such as housing for candidates unfamiliar with the Netherlands, through Maastricht University’s Knowledge Centre for International Staff; A welcoming and open work environment with a high degree of flexibility, and plenty of opportunities for collaboration and growth; Mentoring to develop yourself as a teacher and obtain a University Teaching Qualification (BKO, for ‘basiskwalificatie onderwijs’: an official certification for teaching at Dutch universities) through a training programme, in case you are not yet certified. Full conditions of employment are laid out in the Collective Labour Agreement of Dutch Universities, supplemented with local UM provisions. Furthermore, applicants from outside the Netherlands may be eligible for the so-called 30% ruling, a tax cut for highly skilled migrants that applies for a maximum of five years. Employer Maastricht University Maastricht University (UM) has around 18,000 students and 4,300 employees. Reflecting the university's strong international profile, a fair amount of both students and staff are from abroad. Research at UM is characterized by a multidisciplinary and thematic approach, and is concentrated in research institutes and schools. UM is renowned for its unique, innovative, problem-based learning system, which is characterized by a small-scale and student-oriented approach. UM placed #10 in Times Higher Education’s (THE) Young Universities Ranking 2019, and #127 in THE’s World University Rankings 2020. http://www.maastrichtuniversity.nl/ Living and working in Maastricht | The Department of Data Science and Knowledge Engineering is housed in the historical city of Maastricht, the Netherlands. Situated in the heart of Europe and within 30 kilometers from the German and Belgian borders, Maastricht and its 120,000 inhabitants have a strong international character. It is a safe and family-friendly city with a history spanning more than 2,000 years. The city’s rich past is reflected everywhere in the streets: the ratio of monuments-to-inhabitants is roughly 1:73. Department The Department of Data Science and Knowledge Engineering | Founded in 1992, we are a fast-growing department undertaking internationally respected research in the areas of artificial intelligence, data science, computer science and applied mathematics. Much of our research takes place at the interfaces of these disciplines. We maintain a large network of industry partners and provide education through one bachelor’s programme and two master’s programmes, all of which have a strong focus on Artificial Intelligence and are nationally ranked #1 in their cohort according to the most recent education rankings. Our new colleague will be joining a tight-knit department consisting of ~50 principal investigators, postdocs and PhD students, nearly 600 BSc and MSc students and a team of 13 dedicated support staff members. Together, we come from over 40 different countries. https://www.maastrichtuniversity.nl/dke STEM research in Maastricht | DKE is embedded in the equally thriving Faculty of Science and Engineering. It’s exciting times for STEM research in the region of Zuid-Limburg, where Maastricht University (UM) is situated. For example, UM recently joined the Einstein Telescope Partnership coalition, which will bring STEM challenges to our doorstep through construction of the ETpathfinder prototype gravitational wave detector. Furthermore, Zuid-Limburg is a hub for the high-tech industry. Maastricht University participates in the four regional Brightlands campuses: local tech ecosystems where fundamental and applied research, state-of-the-art facilities, industry partners and students meet. In addition, the university itself offers no shortage of inspiring collaborators through our international network and the five other faculties of UM. https://www.maastrichtuniversity.nl/fse Twitter
Please click here, if the Job didn't load correctly.







Please wait. You are being redirected to the Job in 3 seconds.