美国北卡罗来纳大学夏洛特分校2023年招聘博士后职位（数据挖掘与大数据分析）

美国北卡罗来纳大学夏洛特分校2023年招聘博士后职位（数据挖掘与大数据分析）

北卡罗来纳大学夏洛特分校 （University of North Carolina at Charlotte），简称UNCC，前身是建于1946年的夏洛特中心，如今已成为北卡罗来纳大学教育系统下的一所综合性研究型大学。学校位于北卡罗来纳州的最大城市及金融中心夏洛特，是夏洛特市最著名的学府，科研教学和师资力量雄厚。

北卡罗来纳大学夏洛特分校是北卡罗来纳大学系统的16所分校中的第4大分校，该校共设有9个学院，可提供18个博士专业、62个硕士专业和90个本科专业。US News将UNCC评为第一类国家级大学，2019年本科排名第75位，其中公共事务专业研究生排名全美第59，MBA排名第35，教育专业排名第76，其它优势专业包括金融学、数学，物理学，护理学等等。

Postdoctoral Fellow in Data Mining and Big Data Analytics

University of North Carolina at Charlotte

Position Information

Position Number POST40

Working Title Postdoctoral Fellow in Data Mining and Big Data Analytics; College of Computing & Informatics Division Academic Affairs Department Coll of Computing&Informatics (Col) Work Unit Bioinformatics and Genomics Work Location NC Research Campus - Kannapolis, NC Vacancy Open To All Candidates Position Designation Post Doc Employment Type Temporary - Part-time Hours per week 40 Work Schedule

Monday thru Friday, 8 hours per day

Pay Rate $47,476 Minimum Minimum Experience/Education

Ph.D. (obtained in 2017 or later) in mathematics, statistics, chemistry, or bioinformatics.

Departmental Preferred Experience, Skills, Training/Education:

・ Ethical and self-motivated.

・ Solid computer programming skills in Python, R, MATLAB, Java, or other programming languages.

・ Extensive experiences in algorithm development and statistical analysis of real data.

・ Strong written and verbal communication skills.

・ Experiences in metabolomics data analysis and machine learning are a big plus.

・ Passionate for research and problem-solving.

Duties and Responsibilities

The primary research responsibilities of the successful candidates are to develop data mining and big data analytics capabilities for metabolomics, exposomics, and -omics data integration and publish the results. In particular, the successful candidates are to develop computational algorithms, workflows, software tools, and cloud resources for: (1) extracting compound information from raw liquid-chromatography-mass spectrometry (LC-MS) and gas chromatography-mass spectrometry (GC-MS) exposomics and metabolomics data; (2) annotating and identifying ions based on existing large-scale compound and mass spectral libraries; (3) integration of metabolomics and exposomics data with other -omics and meta-data for gaining a holistic understanding of the underlying biological systems, and (4) data mining large-scale databases for extracting biological knowledge.

In addition to carrying out research, the successful candidates will also share student mentoring with Dr. Du.

As an EOE/AA employer and an ADVANCE Institution that strives to create an academic climate in which the dignity of all individuals is respected and maintained, the University of North Carolina at Charlotte encourages applications from all underrepresented groups. Applicants subject to criminal background check.

Contact

Xiuxia Du, Ph.D.

Professor

Department of Bioinformatics & Genomics

University of North Carolina at Charlotte

Email: xiuxia.du@uncc.edu

Phone: (704) 687-7307