PhD student in Computer Science with specialization in Computational Linguistics affiliated to the Department of Computer Science (DV)
Unspecified place of work
Ref: PA 2013/43-2.2.1.
Linnæus University seeks
PhD student in Computer Science with specialization in Computational Linguistics affiliated to the Department of Computer Science (DV)
Job status: full time
Subject Area: Computer Science with specialization in Computational Linguistics
Tasks
Graduate studies in the field of Computer Science, in particular Computational Linguistics, with a doctoral degree as the goal. The PhD thesis should be completed and defended within the official appointment duration of four years.
Research in the field of Computer Science with a particular focus on the field of Computational Linguistics. The position is part of the StaViCTA project on advances in the description and explanation of stance in discourse using visual and computational text analytics funded for four years by the framework grant No. 2012-5659 from the Swedish Research Council (Vetenskapsrådet).
The place of work for this position is located at our project partner Gavagai AB in Stockholm, i.e., the vast majority of the PhD student's studies and research will be performed there.
Regularly present intermediate research results at international conferences and workshops, and publish them in conference proceedings and journals.
Collaboration with the other project members in an interdisciplinary research environment.
Bases of assessment
Qualification requirements
General entry requirements comprise a completed undergraduate program of at least 240 credits, including 60 credits at advanced level, or the equivalent knowledge in some other way in or out of Sweden. The specific entry requirements are at least a good Master's degree in Computer Science, Computational Linguistics, or any equivalent education. Transitional provision: the person before 1 July 2007 to comply with the requirements for basic qualifications (bachelor's degree and 60 "old" points on the subject) for admission to graduate must also be considered to have basic eligibility for admission to postgraduate studies. This is valid until year 2015.
Other bases of assessment
Excellent background and knowledge in machine learning/data mining and natural language processing is a strong advantage. Experience with deep learning algorithms is an additional important qualification. Good programming skills (e.g. Java, Python) and a solid training in mathematics and statistics are required. Knowledge of linguistics and semantics are preferred.
Good command of English is required. Because of the interdisciplinary character of the project, the candidate should be an enthusiastic person who is interested in making sense of large and dynamic text data (such as in blogs) as well as capable of working both independently and within a group. Teamwork experiences should be documented in the application.
Weighing qualifications
Basis of assessment for admission to graduate studies is the degree of ability to benefit from the graduate program. Since the subject is male-dominated, we encourage female applicants.
Unspecified place of work
Ref: PA 2013/43-2.2.1.
Linnæus University seeks
PhD student in Computer Science with specialization in Computational Linguistics affiliated to the Department of Computer Science (DV)
Job status: full time
Subject Area: Computer Science with specialization in Computational Linguistics
Tasks
Graduate studies in the field of Computer Science, in particular Computational Linguistics, with a doctoral degree as the goal. The PhD thesis should be completed and defended within the official appointment duration of four years.
Research in the field of Computer Science with a particular focus on the field of Computational Linguistics. The position is part of the StaViCTA project on advances in the description and explanation of stance in discourse using visual and computational text analytics funded for four years by the framework grant No. 2012-5659 from the Swedish Research Council (Vetenskapsrådet).
The place of work for this position is located at our project partner Gavagai AB in Stockholm, i.e., the vast majority of the PhD student's studies and research will be performed there.
Regularly present intermediate research results at international conferences and workshops, and publish them in conference proceedings and journals.
Collaboration with the other project members in an interdisciplinary research environment.
Bases of assessment
Qualification requirements
General entry requirements comprise a completed undergraduate program of at least 240 credits, including 60 credits at advanced level, or the equivalent knowledge in some other way in or out of Sweden. The specific entry requirements are at least a good Master's degree in Computer Science, Computational Linguistics, or any equivalent education. Transitional provision: the person before 1 July 2007 to comply with the requirements for basic qualifications (bachelor's degree and 60 "old" points on the subject) for admission to graduate must also be considered to have basic eligibility for admission to postgraduate studies. This is valid until year 2015.
Other bases of assessment
Excellent background and knowledge in machine learning/data mining and natural language processing is a strong advantage. Experience with deep learning algorithms is an additional important qualification. Good programming skills (e.g. Java, Python) and a solid training in mathematics and statistics are required. Knowledge of linguistics and semantics are preferred.
Good command of English is required. Because of the interdisciplinary character of the project, the candidate should be an enthusiastic person who is interested in making sense of large and dynamic text data (such as in blogs) as well as capable of working both independently and within a group. Teamwork experiences should be documented in the application.
Weighing qualifications
Basis of assessment for admission to graduate studies is the degree of ability to benefit from the graduate program. Since the subject is male-dominated, we encourage female applicants.
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Warm Regards,
H. Iftikhar
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